Pendulum® is leading a revolution that is occurring around the world to improve physical and mental health by first understanding, then restoring and enhancing the human microbiome.

Studies have shown that our microbiome (the bacterial communities in and on our bodies) is linked to everything from metabolism and diabetes to longevity, weight loss, healthy immune systems, cancer prevention, feelings of well-being, inflammatory bowel disease, and even healthy skin. We have just scratched the surface of understanding the impact that our microbiome has on our lives. During early life, we develop a diverse and balanced microbiome that plays a critical role in shaping our long-term health. Over our lives, a combination of diet, lifestyle, antibiotics, and aging can decrease the effectiveness of our microbiome.

Pendulum recognized the enormous impact they could have on people’s lives if they were able to address the imbalances in the microbiome. To accomplish this, Pendulum created proprietary probiotic pipelines and a unique discovery platform to identify key, novel bacterial strains and the prebiotics that feed them. The company has also built and developed the world’s first manufacturing technology to produce bacteria in an anaerobic (oxygen-free) environment at scale.

The medical probiotics that Pendulum has formulated have transformed the consumer probiotics market into a new category of therapeutic offerings that deliver the power and efficacy of pharmaceuticals with the safety and accessibility of a natural probiotic. Due to Pendulum’s explosive revenue and customer growth over the last two years, the company earned a spot on Forbes Magazine’s exclusive “The Next Billion Dollar Startups” list.

Please continue reading if you want to improve people's lives globally and love working in a cross-functional, collaborative, inspiring environment.

We are a highly collaborative team of scientists, engineers, physicians, marketers, and analysts interested in improving human health using the latest research from diverse fields, such as microbiology, molecular biology, high-throughput genomics, distributed computing, pharmaceutical development, and nutrition. We firmly believe in cultivating a transparent team culture where effective communication drives both individual and collective success.

Position Summary

The Senior Manager of Research and Development will manage and execute key R&D projects and programs, from early development to commercialization, under the direction of Product leadership. This includes leading project teams and collaborating with cross-functional teams, fostering innovation, generating data to support marketing teams, and helping ensure products meet regulatory and quality requirements. The ideal candidate will have solid experience in biopharma-related disciplines, a strong understanding of microbiome science and products, and a track record of contributing to successful products in market.

The successful candidate will be a highly collaborative and results-oriented manager with strong critical and analytical thinking skills. This role demands a blend of hands-on scientific work and people leadership. As a manager, you will help drive the priorities of your projects and team, aligning your research efforts with broader clinical, commercial and business goals. As a working scientific lead, you will directly guide bench scientists, troubleshoot experiments, and foster a culture of scientific excellence. You will serve as a collaborative partner to cross-functional teams, ensuring seamless collaboration and a shared vision for success. Things move quickly around here, and we seek someone who thrives in a fast-paced, lean, collaborative environment. While we want someone who can think big, we also need someone who can be resourceful in how they approach executing. They should be passionate and comfortable working with an exciting young brand as it quickly scales.

Listed by Pendulum Therapeutics for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

50 days ago

Senior Manager of Research and Development

Pendulum Therapeutics · San Francisco, CA

Pay

$190k–210k

Setting

On-site

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About Pendulum

Pendulum® is leading a revolution that is occurring around the world to improve physical and mental health by first understanding, then restoring and enhancing the human microbiome.

Please continue reading if you want to improve people's lives globally and love working in a cross-functional, collaborative, inspiring environment.

Position Summary

Listed by Pendulum Therapeutics for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

64 days ago

Senior Research Data Analyst

Komodo Health · United States

Pay

$128k–160k

Setting

Remote

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Back to jobs Senior Research Data Analyst United States Apply We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health This role is critical to designing and implementing data processing and analysis programming pipelines for Life Science/HEOR/RWE research studies utilizing the Komodo Healthcare Map. Looking back on your first 12 months at Komodo Health, you will have accomplished… Architected end-to-end programming pipelines for large-scale healthcare data extraction, transformation, and validation using SQL to power observational research studies leveraging Komodo Healthcare Map. Led the implementation of analytical plans featuring complex statistical modeling in R, aligning research objectives with appropriate methodological approaches to support HEOR/RWE studies. Maintained high-quality standards through rigorous documentation, best coding practices, quality control processes, and version control with Git throughout the study lifecycle. Produced publication-ready deliverables meeting industry standards for external clients. Presented interim and final results to cross-functional stakeholders, incorporating feedback to refine analyses. Designed and implemented standardized programming modules to enhance research reproducibility and analytical efficiency across projects. You will accomplish these outcomes through the following responsibilities… Collaborate with cross-functional teams to design and execute observational research studies, by developing SQL data pipelines and R-based statistical analyses. Validate analysis work, troubleshoot issues, and iterate on analytic approaches to ensure alignment with research protocols and study objectives. Support internal tool development and contribute to publications to enhance Komodo's scientific presence. What you bring to Komodo Health (required): MS in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative field. 5+ years of industry experience developing production-grade SQL pipelines (querying, cleaning, transformation) for large-scale databases. Proficient in R (preferred), Python, or SAS for statistical programming. Experience with Git version control and command-line workflows. Hands-on experience with administrative claims, EHR, or equivalent RWD. Familiarity with healthcare data models and U.S. medical coding systems (ICD-10, CPT, NDC). Experience collaborating with epidemiologists/SMEs to execute research studies, with a solid understanding of epidemiological principles. Proven ability to implement statistical analysis (descriptive analytics, regression, hypothesis testing, and visualization). Adaptability to learn new tools and methods in fast-paced environments; ability to manage concurrent projects with competing deadlines. Additional skills and experience we’d prioritize (nice to have)… Advanced SQL skills (dbt, query optimization). Experience with advanced observational study designs. Extensive HEOR/RWE expertise on treatment pattern analysis, LoT, HCRU/cost analysis, synthetic control arm and patient outcome research. Experience with health economic modeling, including Budget Impact Models (BIM) and Cost-Effectiveness Analysis (CEA). Advanced statistical modeling experience in PSM, survival analysis, causal inference, and bootstrapping. Contributions to peer-reviewed publications. Exposure to RESTful APIs, R package development, or Shiny apps. #LI-Remote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $147,000 - $160,000 USD All Other US Locations: $128,000 - $160,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors. This notice explains how we collect, use, and retain applicant data. Get new jobs like this in your inbox We'll email you when Komodo Health posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Do you now, or will you in the future, require immigration sponsorship to work at Komodo Health?* Select... How did you hear about this opportunity?* What is your desired salary for this role?* Are you currently subject to or will you be subject to if hired by Komodo a non-compete agreement, non-solicit agreement or any other similar restrictions which may limit your ability to work at Komodo or perform the job functions for the job for which you are applying?* Select... We’d love to learn more about your working preferences. Komodo Health strives to ensure that its employees are supported with adequate resources, regardless of location. Roles at Komodo are labeled as either Remote, Location Flexible (within a specific region or commutable to any U.S. office) or Location Specific (working from a specific office). Note - Your answer to this question does not impact your application in any way.* Select... Please select your preference: Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Komodo Health’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... 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A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select... Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 07/31/2029 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp. How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. Learn more Submit application Powered by

Listed by Komodo Health for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

109 days ago

Staff / Senior Scientist, Assay Development (Chemistry)

Glyphic Biotechnologies · Berkeley, CA

Pay

$123k–188k

Setting

On-site

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Back to jobs Staff / Senior Scientist, Assay Development (Chemistry) Berkeley, CA Apply for this Job About Glyphic: At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule proteome sequencing platform that will transform life science discovery and usher in a new era of insights into human biology and disease. To date, we have raised >$80M from venture partners and non-dilutive grant funding to achieve our vision of next generation proteome sequencing. What we are looking for in you We are seeking a Senior or Staff Scientist to join our Assay Development team at a critical stage in platform development. Reporting to the Director of Assay Development, you will be a hands-on expert working at the chemistry-assay interface — developing the chemical methods that enable reliable, high-efficiency sample loading into our expansion assay, and building the novel conjugation, cleavage, and stabilization workflows that power our single-molecule proteome sequencing platform. You will work closely with the Chemistry team to develop sample input methods for new protein and peptide types, including side-chain protection strategies, encoder loading routes, and peptide-from-protein handoff approaches. The ideal candidate brings deep expertise in peptide chemistry, bioorthogonal and click conjugation strategies, and cleavage chemistry development — with a track record of building new chemical methods for complex, multi-component systems. You combine a synthetic chemist's mechanistic rigor with sensitivity to how chemistry performs inside a demanding multi-cycle assay environment. This is a full-time, exempt, in-person position with work conducted at our Berkeley, CA location. What you’ll do Expansion assay chemistry & sample loading Optimize bioconjugation methods for peptide loading into the expansion assay; establish robust, high-efficiency loading protocols that perform reliably across diverse peptide populations and physicochemical characteristics. Identify, characterize, and optimize peptide labeling during the ProSE sequencing assay, leveraging mechanistic understanding of Edman chemistry and amino acid side-chain reactivity and stability. Develop reagents and methods to maximize the stability of peptides, DNA, and peptide-DNA chimeras throughout the ProSE sequencing assay. Partner with the Chemistry team to develop amino acid side-chain protection chemistries. Evaluate compatibility of new chemistries with existing assay components, reagents, and multi-cycle sequencing conditions. Evaluate emerging chemistries from the literature and internal pipeline; synthesize and test candidate reagents. Novel assay chemistry workflows Design and determine the order of operations for chemical manipulations within the assay workflow — including decisions on when specific steps occur on-bead versus off-bead, and how side-chain protection and deprotection strategies are sequenced relative to assay cycles — to ensure compatibility, efficiency, and analytical interpretability. Optimize selective cleavage chemistry workflows for use within the sequencing assay. Optimize for efficiency, selectivity, and compatibility with assay conditions. Develop stabilization strategies for sensitive assay intermediates and conjugates. Employ analytical methods — HPLC (RP and IEX), LC-MS/MS, UV-Vis, CE — to characterize conjugation efficiency, adduct identity, purity, and stability of assay intermediates and conjugates. Characterize and troubleshoot the impact of the chemical steps of multi-cycle workflows. What you need Required: Advanced degree in organic chemistry, chemical biology, biochemistry, or a related field Industry experience designing multi-step chemical workflows in complex biological systems, including sequencing or determining the order of chemical manipulations across assay conditions. MS/PhD with 6+/4+ years of experience (for Senior Scientist) MS/PhD with 8+/6+ years of experience (for Staff Scientist) Demonstrated experience developing site-selective bioconjugation chemistry for native peptides — including N-terminal, C-terminal, and side-chain modification strategies — using click chemistry (CuAAC, SPAAC, IEDDA), NHS-ester coupling, and related bioorthogonal approaches in multi-component peptide systems. Experience developing multi-step workflows using peptides, oligonucleotides and bioconjugation techniques including in solution and on surfaces. Proficiency with analytical characterization of complex conjugates and assay intermediates: HPLC (RP and IEX), LC-MS/MS, UV-Vis; demonstrated ability to develop and validate analytical methods for novel chemical entities. Method-development mindset: history of building and adapting new chemical approaches rather than executing established protocols. Ability to function as both an independent contributor and a collaborative partner in a cross-functional team environment. Excellent problem-solving skills and attention to detail. Excellent written and verbal communication skills, with the ability to work seamlessly with colleagues from diverse scientific and technical backgrounds. Ability to thrive in a fast-paced environment with evolving priorities. Nice to have: Familiarity with nanopore or single-molecule sequencing chemistry, and the demands it places on assay reagent purity, stability, and uniformity. Experience with solid-phase peptide synthesis (SPPS), including on-resin modification, selective sidechain deprotection, and non-standard protecting group strategies. Familiarity with statistical and DOE-based experimental design for chemistry optimization. Prior experience in an early-stage biotech or tools/diagnostics company. We’re looking for a teammate that: Navigates complex team dynamics, partnerships, and challenges with creativity and logic. Operates with adaptability, urgency, and flexibility in evolving environments, thriving in ambiguity. Drives work forward without needing to be asked, taking responsibility for outcomes rather than tasks. Treats obstacles as problems to be creatively solved, not reasons something can’t be done. Applies sound judgment to the best available information, testing, learning, and iterating. Shares early and directly when assumptions change, results are unclear, or timelines are at risk. What you can expect from this role Work environment: Collaborative culture where your ideas and expertise are valued Direct impact on product development and company direction Professional growth: Learn from a diverse team of world-class scientists and engineers Contribute to first-of-their kind technologies, high-impact publications, and patents Compensation Estimated Base Salary $123,000 - $187,575 This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including, experience, education, skillset, and geographic location. This range is for the SF Bay Area, California location and may be adjusted to the labor market in other geographic areas. Benefits and Perks: Employee Stock Option Plan 100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision) Employer Retirement Contributions to 401(k) Generous Paid Time Off Paid Maternity and Paternity Leave Health & Wellbeing Program Office Snacks and Beverages Regular Team Bonding Activities We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Apply for this job * indicates a required field First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website How did you hear about this job? Are you legally authorized to work for Glyphic Biotechnologies in the United States?* Select... Will you require sponsorship for employment visa status now or in the future?* Select... If offered a position with Glyphic Biotechnologies, I understand my employment may be contingent upon a reference check, and any other required check or screening specified in the job description, the offer letter and/or discussed during the interview process.* Select... Submit application Powered by

Listed by Glyphic Biotechnologies for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

109 days ago

Scientist / Senior Scientist, Assay Development (Reagents)

Glyphic Biotechnologies · Berkeley, CA

Pay

$112k–162k

Setting

On-site

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Back to jobs Scientist / Senior Scientist, Assay Development (Reagents) Berkeley, CA Apply for this Job About Glyphic: At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule proteome sequencing platform that will transform life science discovery and usher in a new era of insights into human biology and disease. To date, we have raised >$80M from venture partners and non-dilutive grant funding to achieve our vision of next generation proteome sequencing. What we are looking for in you Glyphic is seeking a Scientist or Senior Scientist to build and sustain the reagent supply infrastructure that powers our single-molecule proteome sequencing platform. In this role you will own the full reagent lifecycle — from early formulation and characterization through stability qualification, QC method development, and lot release — ensuring that every critical material entering a multi-cycle expansion run meets Glyphic's performance standards. The ideal candidate brings deep hands-on expertise in biochemical reagent development with a quality-by-design mindset: methodical in experimental approach, rigorous in documentation, and proactive in building the frameworks that sustain consistency at scale. You have experience not just characterizing reagents but qualifying them — setting acceptance criteria, gating go/no-go decisions on incoming lots, and maintaining the provenance records that high-stakes single-molecule runs demand. You are comfortable working at the bench and translating your findings into SOPs, QC protocols, and reagent inventories that the broader Assay Development team can rely on. This is a full-time, exempt, in-person position with work conducted at our Berkeley, CA location. What you’ll do Reagent Development & Formulation Lead assay reagent development activities, including formulation, characterization, and optimization, for components used in ProSE single-molecule expansion and library preparation workflows, including enzymes, oligos, beads, and solvents. The materials in scope extend beyond standard biological reagents to include chemically reactive compounds and environmentally sensitive materials susceptible to degradation by oxygen, humidity, light, and temperature fluctuations. Working with these materials demands a chemistry-aware approach to formulation, handling, and storage. Characterize reagent performance using design-of-experiments (DOE) approaches, systematically varying formulation conditions, buffer composition, excipients, and process parameters to establish operating bounds and define product specifications. Design and execute experiments to evaluate reagent performance in end-use assay configurations; develop a mechanistic understanding of how reagent composition, lot variability, and environmental sensitivity impact expansion assay outcomes. Design and execute reagent storage stability studies under accelerated and real-time conditions; develop stability-indicating assays; interpret results against established product specifications and flag out-of-spec trends proactively. QC Framework & Lot Qualification Build and implement a QC and control framework for platform reagents, including acceptance criteria, lot release protocols, and QC assay development, to support reliable, consistent supply to the Assay team. Develop, qualify, and transfer QC test methods for reagent characterization and lot release, including HPLC, fluorescence-based functional assays, and physical characterization methods; set product, process, and incoming material acceptance criteria in collaboration with Assay and cross-functional partners. Qualify each reagent lot prior to use in multi-cycle or KOL runs; execute hands-on QC testing encompassing physical, chemical, and functional characterization; gate go/no-go decisions on input materials and maintain provenance records for high-stakes runs. Maintain batch records and quality documentation in accordance with internal standards. SOPs, Inventory & Continuous Improvement Establish and maintain SOPs for assay reagents and integrated workflows; systematically investigate lot-to-lot variability and failure modes; troubleshoot deviations and lead root cause analysis and corrective action. Guard-band critical reagent components and workflow steps to establish the operating bounds of new protocols and define tolerance limits for expansion assay parameters. Forecast and maintain end-to-end reagent inventory for SOP-level runs, ensuring the Assay team has qualified materials available on schedule for integration runs and platform demonstrations. Partner with the Automation team to implement and qualify reagent-dependent assay steps on work cell or Hamilton-based platforms; qualify liquid-handling methods against reagent specifications. Analyze experimental data using statistical methods; synthesize results to identify trends and trace them to upstream reagent, process, or formulation variables; communicate findings through technical reports and presentations, and maintain comprehensive documentation to ensure reproducibility and preserve institutional knowledge. What you need Required: Degree in Biochemistry, Chemical Biology, Biophysics, Biomedical Engineering, or an equivalent field; industry experience including: PhD / MS / BS with 4+ / 6+ / 8+ years of relevant experience (Senior Scientist) PhD / MS / BS with 2+ / 4+ / 6+ years of relevant experience (Scientist II) Proven bench expertise in reagent development or analytical science, with hands-on experience across biochemical characterization techniques with the ability to establish operating bounds and guard bands for critical reagent and process parameters. Deep understanding of reagent formulation principles and their influence on stability and functional performance; with practical experience across the full reagent development cycle including formulation, stability studies, and QC method development. Experience working with chemically reactive or environmentally sensitive compounds, including materials susceptible to degradation by oxygen, humidity, or light, with appropriate handling, storage, and stability assessment practices Strong experimental design skills, with the ability to plan and execute DOE-informed studies and interpret results against specifications. Experience developing reagents for multistep, integrated assay workflows involving multiple handoff points or checkpoints, including multi-omics or multi-component platforms. Experience establishing and maintaining robust SOPs for end-to-end integrated workflows, with consistent capture of key experimental variables, reagents, and process conditions — enabling cross-functional traceability and correlation with downstream data and performance. Excellent problem-solving skills and meticulous attention to detail. Strong written and verbal communication skills, with the ability to work effectively with colleagues across diverse scientific and technical backgrounds. Comfortable navigating a fast-paced, resource-constrained environment with shifting priorities. Nice to have: Background in proteomics reagents, protein modification chemistry, peptide-oligonucleotide conjugates, or single-molecule assay components. Experience with automation platforms for liquid handling (e.g., Hamilton, ThermoFisher, Agilent) and protocol validation on automated workcells. We’re looking for a teammate that: Navigates complex team dynamics, partnerships, and challenges with creativity and logic. Operates with adaptability, urgency, and flexibility in evolving environments, thriving in ambiguity. Drives work forward without needing to be asked, taking responsibility for outcomes rather than tasks. Treats obstacles as problems to be creatively solved, not reasons something can’t be done. Applies sound judgment to the best available information, testing, learning, and iterating. Shares early and directly when assumptions change, results are unclear, or timelines are at risk. What you can expect from this role Work environment: Collaborative culture where your ideas and expertise are valued Direct impact on product development and company direction Professional growth: Learn from a diverse team of world-class scientists and engineers Contribute to first-of-their kind technologies, high-impact publications, and patents Compensation Estimated Base Salary $111,725 - $161,900 This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including, experience, education, skillset, and geographic location. This range is for the SF Bay Area, California location and may be adjusted to the labor market in other geographic areas. Benefits and Perks: Employee Stock Option Plan 100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision) Employer Retirement Contributions to 401(k) Generous Paid Time Off Paid Maternity and Paternity Leave Health & Wellbeing Program Office Snacks and Beverages Regular Team Bonding Activities We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Apply for this job * indicates a required field First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website How did you hear about this job? Do you have experience with chemically reactive or environmentally sensitive compounds, including materials susceptible to degradation by oxygen, humidity, or light?* Select... Are you legally authorized to work for Glyphic Biotechnologies in the United States?* Select... Will you require sponsorship for employment visa status now or in the future?* Select... If offered a position with Glyphic Biotechnologies, I understand my employment may be contingent upon a reference check, and any other required check or screening specified in the job description, the offer letter and/or discussed during the interview process.* Select... Submit application Powered by

Listed by Glyphic Biotechnologies for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

141 days ago

Staff / Senior Scientist, Bioconjugation Chemistry

Glyphic Biotechnologies · Berkeley, CA

Pay

$123k–188k

Setting

On-site

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Back to jobs Staff / Senior Scientist, Bioconjugation Chemistry Berkeley, CA Apply for this Job About Glyphic: At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule proteome sequencing platform that will transform life science discovery and usher in a new era of insights into human biology and disease. To date, we have raised >$80M from venture partners and non-dilutive grant funding to achieve our vision of next generation proteome sequencing. What we are looking for in you We are seeking a Senior or Staff Scientist, Bioconjugation to join our Chemistry team at a pivotal stage in assay development. Reporting to the Senior Director of Chemistry, you will be a hands-on expert who designs, develops, and executes bioconjugation strategies for peptide and oligonucleotide components that are central to our single-molecule proteome sequencing assay. The ideal candidate brings deep expertise in protein and peptide bioconjugation, site-specific chemical modification of amino acid sidechains, and oligonucleotide-biomolecule conjugation, with a track record of working in complex, multi-component systems (e.g., ADCs, therapeutic bioconjugates, or new bioconjugated components for assays). A successful candidate will have an innovative method-development mindset and will effectively build new approaches to making bioconjugates. This individual will thrive in a cross-functional environment where chemical solutions must be tightly integrated into assay design. This role offers the unique opportunity to develop first-in-class conjugation chemistry that enables single-molecule protein sequencing. This is a full-time, exempt, in-person position with work conducted at our Berkeley, CA location. What you’ll do Bioconjugation strategies: Partner with sample prep and assay development to screen and select conjugation chemistries for peptides and oligonucleotides that enable single molecule protein sequencing Design bioconjugation workflows using NHS-ester chemistry, maleimides, isothiocyanate chemistry, and click chemistry (CuAAC, SPAAC, IEDDA) Prepare bioconjugation reagents to enable studies from proof-of-concept through prototype-kitting. Peptide chemistry: Develop labeling strategies based on Edman Chemistry Develop and apply selective C-terminal and N-terminal conjugation chemistries Develop site-specific labeling strategies for amino acid sidechains (Cys, Lys, Arg, Tyr, Trp, His, Asp/Glu) on native peptides. Screen protecting groups to enhance amino acid signal in the protein sequencing assay Enable on-bead workflow to label and release peptides for interrogation in the sequencing assay Synthesize, characterize, and scale: Synthesize and purify peptide and oligonucleotide conjugates for assay testing Characterize conjugation efficiency, purity, and stability using tools such as HPLC, LC-MS/MS, NMR, CE, UV/Vis, and FTIR Scale conjugate synthesis from R&D quantities to prototype-grade supply for internal testing, with attention to reproducibility, shelf-life, and fit-for-purpose quality Collaborate and document: Work cross-functionally with sample preparation, assay integration, and reagent manufacturing teams to troubleshoot conjugation failures and optimize workflows Contribute to intellectual property development through invention disclosures Maintain rigorous experimental documentation in Confluence and laboratory notebooks; author and maintain SOPs for new conjugation methods What you need Required: MS or PhD in organic chemistry, chemical biology, biochemistry, or a related field Industry experience in bioconjugation chemistry, with demonstrated ability to independently design, develop, and troubleshoot conjugation workflows MS/PhD with 8+/6+ years of experience (for Staff Scientist) MS/PhD with 6+/4+ years of experience (for Senior Scientist) Deep expertise in protein and/or peptide bioconjugation: NHS esters, maleimides, click chemistries (CuAAC, SPAAC, IEDDA), isothiocyanate coupling, and related bioorthogonal approaches Experience with site-specific amino acid sidechain chemistry beyond maleimide chemistry (e.g. Cys, Lys, Arg, Tyr, Trp, Asp/Glu) for application in multistep workflows Track record developing novel blocking groups and conducting SAR studies to optimize blocking group performance and selectivity Proficiency in analytical characterization: HPLC method development, LC-MS/MS for conjugate analysis, UV/Vis, and CE Method-development mindset: history of building and adapting new chemical approaches rather than executing established protocols Demonstrated ability to function as an independent contributor and collaborative partner in a cross-functional team setting Nice to have: Hands-on experience with solid-phase peptide synthesis (SPPS), including protecting group strategies beyond standard Fmoc/Boc and selective on-resin modifications Experience with peptide C-terminal chemistry manipulation methods: thioester formation, native chemical ligation, or photoredox/iridium-catalyzed C-terminal labeling Familiarity with oligonucleotide chemistry and oligo-conjugation techniques (ITC, phosphoramidite modifications, click coupling to nucleic acids) Experience with scalable surface chemistry methods for flow cells or solid-phase supports Familiarity with statistical and DOE-based experimental design for chemistry optimization Prior experience in an early-stage biotech or tools/diagnostics company We’re looking for a teammate that: Navigates complex team dynamics, partnerships, and challenges with creativity and logic. Operates with adaptability, urgency, and flexibility in evolving environments, thriving in ambiguity. Drives work forward without needing to be asked, taking responsibility for outcomes rather than tasks. Treats obstacles as problems to be creatively solved, not reasons something can’t be done. Applies sound judgment to the best available information, testing, learning, and iterating. Shares early and directly when assumptions change, results are unclear, or timelines are at risk. What you can expect from this role Work environment: Collaborative culture where your ideas and expertise are valued Direct impact on product development and company direction Professional growth: Learn from a diverse team of world-class scientists and engineers Contribute to first-of-their kind technologies, high-impact publications, and patents Compensation Estimated Base Salary $123,000 - $187,575 This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including, experience, education, skillset, and geographic location. This range is for the SF Bay Area, California location and may be adjusted to the labor market in other geographic areas. Benefits and Perks: Employee Stock Option Plan 100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision) Employer Retirement Contributions to 401(k) Generous Paid Time Off Paid Maternity and Paternity Leave Health & Wellbeing Program Office Snacks and Beverages Regular Team Bonding Activities We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Apply for this job * indicates a required field First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website How did you hear about this job? Are you legally authorized to work for Glyphic Biotechnologies in the United States?* Select... Will you require sponsorship for employment visa status now or in the future?* Select... If offered a position with Glyphic Biotechnologies, I understand my employment may be contingent upon a reference check, and any other required check or screening specified in the job description, the offer letter and/or discussed during the interview process.* Select... Do you have experience with protein or peptide bioconjugation?* Select... What site-specific amino acid sidechain chemistries have you used most?* Submit application Powered by

Listed by Glyphic Biotechnologies for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

405 days ago

ML Research Scientist, Foundation Models (Senior / Staff / Principal)

Genesis Molecular AI ·

Pay

$120k–245k

Setting

Remote

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ML Research Scientist, Foundation Models

About the Team

Join a world-class team at the forefront of AI and biochemistry.

At Genesis Molecular AI, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases.

We don’t just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations.

About the Role

This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines.

This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our exceptional engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community. We will actively support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR.

Positions are available at various levels of seniority: Senior, Staff, and Principal.

You will

Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems.
Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas.
Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art.
Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform.
Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops.
Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation.

You are

A deep learning expert with a portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods).
An independent, first-principles thinker with a strong sense of ownership over your research projects and a drive to see them through to completion.
A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models.
A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. No prior experience in biology or chemistry is necessary – only willingness to learn.
A true team player with strong communication skills who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined.
Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite.

Nice to have's

PhD in machine learning, computer science, other computational sciences or equivalent research experience, demonstrated by a strong publication record.
Hands-on experience with Pytorch, Pytorch Lightning, Ray Distributed Training, Pytorch Geometric, etc.
Experience in distributed training and inference of large models on GPU clusters.
Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data.

Compensation, Benefits, and Perks

Competitive compensation package that includes salary and equity.
Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).
401(k) plan.
Open (unlimited) PTO policy.
Free lunches and dinners at our offices.
Paid family leave (maternity and paternity).
Life and long- and short-term disability insurance.

About Genesis Molecular AI

is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.

Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Listed by Genesis Molecular AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

405 days ago

ML Research Engineer, Foundation Models (Senior / Staff / Principal)

Genesis Molecular AI ·

Pay

$140k–245k

Setting

Hybrid

Apply Sign in to favorite Permalink

ML Research Engineer, Foundation Models (Senior / Staff / Principal) Location San Mateo, CA; New York, NY Employment Type Full time Location Type Hybrid Department AI Overview Application ML Research Engineer, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that unlock new therapies for patients with severe diseases. We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building the engine for this revolution. We develop large-scale generative models trained across the full spectrum of molecular data, supported by extensive compute infrastructure and simulation pipelines. The work sits at the intersection of machine learning research, structural biology, and computational chemistry, requiring deep technical rigor and strong interdisciplinary collaboration. About the Role This role is for a highly skilled ML Research Engineer who thrives at the intersection of fundamental research and production-grade engineering. As a core member of the Genesis AI team, you will serve as the engineering pillar for inventing, scaling, and shipping our next generation of foundation models for molecular science. You will partner closely with ML researchers, computational chemists, and drug discovery scientists to translate cutting-edge model ideas into systems that power real drug discovery programs. Your work may involve: Scaling model pretraining pipelines Advancing reinforcement learning or post-training systems Optimizing performance of large molecular models Bringing structure prediction models like Pearl into production environments used by chemists and drug programs This role requires someone who can bridge ML and computational chemistry, translating between disciplines and helping teams move quickly from research insight to deployed capability. We are looking for someone who can own problems end-to-end, in a fast-moving research environment, translating novel ML ideas into systems that scientists can use in active discovery programs. Positions are available at various levels of seniority: Senior, Staff, and Principal. You Will Drive the R&D and scaling of our foundation models, taking ownership of the engineering and experimentation for key research initiatives. Make cutting-edge foundation model research a reality at scale. Implement, optimize, and build novel foundation models from the initial research prototypes to high-performance production models. Optimize performance of large-scale ML systems, including distributed training, inference efficiency, and GPU-level optimizations where necessary. Constantly engage with deep learning literature, building upon novel architectures and training methods to create new capabilities. Bridge machine learning research and computational chemistry workflows, working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs. Help productionize Pearl and related structure prediction models, enabling reliable deployment and integration into Genesis’ internal and partner drug discovery pipelines. Own the experimental lifecycle with scientific rigor. You'll design experimental plans, own their execution on our large-scale compute infrastructure, and drive the deep analysis of results to inform the next research cycle and to validate most promising approaches. Ship state-of-the-art models to production, Collaborate intensely. Work closely with the broader team to integrate your models into our drug discovery platform. Mentor and guide other researchers and engineers, fostering a culture of high-quality code, rigorous experimentation, and continuous innovation. Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. Who You Are 2+ years industry experience of building complex ML systems. A research engineer with deep ML rigor. You have deep expertise in building scalable, high-performance foundation models, pretraining, and posttraining methods, and systems around them. A builder who ships. You write clean, high-performance code and are comfortable working across the ML stack (Python, PyTorch, distributed training systems). You have demonstrated experience translating research into working systems quickly. An expert in modern ML engineering. You understand the mathematics and systems behind modern ML methods. You can design, optimize, and implement novel modeling approaches. Experienced in training models at scale. You understand distributed training, large-scale datasets, and performance optimization across GPU clusters. You thrive in environments where models move rapidly from prototype to production. Experience with GPU systems programming Hands-on experience writing CUDA kernels or optimizing GPU workloads beyond standard frameworks. Hands-on experience with our core libraries: PyTorch, PyTorch Lightning, and Ray Distributed Training, PyTorch Geometric, etc. Comfortable in research ambiguity. You can iterate on novel architectures, training pipelines, and experimental ideas while maintaining rigorous engineering discipline. A first-principles thinker. You approach problems from fundamentals and take pride in building robust systems from conceptual design to state-of-the-art implementation. A curious mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. A strong cross-functional collaborator. You communicate effectively with scientists across disciplines including computational chemistry, structural biology, and medicinal chemistry. No prior biology or chemistry experience is required, though curiosity and willingness to learn are essential. Nice to haves Experience with novel research in one or more of the following domains: LLMs, diffusion, reinforcement learning or other cutting edge generative or predictive machine learning models. Computational chemistry or drug discovery systems Especially experience related to protein-ligand structure prediction, small-molecule modeling, or computational drug discovery workflows. Generative modeling methods Diffusion models or other generative architectures applied to scientific or molecular problems. LLM post-training techniques Experience with SFT, RLHF, synthetic data pipelines, or other post-training systems. Performance engineering Experience with Triton kernels, TensorRT, quantization, or large-scale model serving. Publications in top-tier ML venues NeurIPS, ICML, ICLR, or similar. Experience with ML frameworks used at Genesis PyTorch, PyTorch Lightning, Ray Distributed Training, PyTorch Geometric, or related systems. Advanced degree MS or PhD in machine learning, computer science, computational science, or equivalent research/engineering experience. What we offer Competitive compensation package that includes salary and equity. Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). 401(k) plan. Open (unlimited) PTO policy. Free lunches and dinners at our offices. Paid family leave (maternity and paternity). Life and long- and short-term disability insurance. About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Genesis Molecular AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

405 days ago

ML Research Scientist, Foundation Models (Senior / Staff / Principal)

Genesis Molecular AI ·

Pay

$120k–245k

Setting

Remote

Apply Sign in to favorite Permalink

ML Research Scientist, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don’t just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our exceptional engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community. We will actively support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR. Positions are available at various levels of seniority: Senior, Staff, and Principal. You will - Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems. - Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas. - Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art. - Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform. - Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. - Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation. You are - A deep learning expert with a portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods). - An independent, first-principles thinker with a strong sense of ownership over your research projects and a drive to see them through to completion. - A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models. - A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. No prior experience in biology or chemistry is necessary – only willingness to learn. - A true team player with strong communication skills who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined. - Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. Nice to have's - PhD in machine learning, computer science, other computational sciences or equivalent research experience, demonstrated by a strong publication record. - Hands-on experience with Pytorch, Pytorch Lightning, Ray Distributed Training, Pytorch Geometric, etc. - Experience in distributed training and inference of large models on GPU clusters. - Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data. Compensation, Benefits, and Perks - Competitive compensation package that includes salary and equity. - Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). - 401(k) plan. - Open (unlimited) PTO policy. - Free lunches and dinners at our offices. - Paid family leave (maternity and paternity). - Life and long- and short-term disability insurance. About Genesis Molecular AI Genesis Molecular AI http://genesis.ml is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl https://www.businesswire.com/news/home/20251028030745/en/Genesis-Molecular-AI-Unveils-Pearl-a-Field-Leading-Foundation-Model-that-Achieves-Unprecedented-Performance-in-Drug-Protein-Structure-Prediction for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes https://www.forbes.com/sites/innovationrx/2026/05/20/inside-incytes-120-million-ai-for-drug-development-deal/ and GEN https://www.genengnews.com/topics/artificial-intelligence/small-molecules-to-big-partnership-incyte-genesis-expand-ai-collaboration-to-1b/) with a total potential deal value of several billion dollars. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Listed by Genesis Molecular AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

405 days ago

ML Research Engineer, Foundation Models (Senior / Staff / Principal)

Genesis Molecular AI ·

Pay

$140k–245k

Setting

Hybrid

Apply Sign in to favorite Permalink

ML Research Engineer, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that unlock new therapies for patients with severe diseases. We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building the engine for this revolution. We develop large-scale generative models trained across the full spectrum of molecular data, supported by extensive compute infrastructure and simulation pipelines. The work sits at the intersection of machine learning research, structural biology, and computational chemistry, requiring deep technical rigor and strong interdisciplinary collaboration. About the Role This role is for a highly skilled ML Research Engineer who thrives at the intersection of fundamental research and production-grade engineering. As a core member of the Genesis AI team, you will serve as the engineering pillar for inventing, scaling, and shipping our next generation of foundation models for molecular science. You will partner closely with ML researchers, computational chemists, and drug discovery scientists to translate cutting-edge model ideas into systems that power real drug discovery programs. Your work may involve: - Scaling model pretraining pipelines - Advancing reinforcement learning or post-training systems - Optimizing performance of large molecular models - Bringing structure prediction models like Pearl into production environments used by chemists and drug programs This role requires someone who can bridge ML and computational chemistry, translating between disciplines and helping teams move quickly from research insight to deployed capability. We are looking for someone who can own problems end-to-end, in a fast-moving research environment, translating novel ML ideas into systems that scientists can use in active discovery programs. Positions are available at various levels of seniority: Senior, Staff, and Principal. You Will - Drive the R&D and scaling of our foundation models, taking ownership of the engineering and experimentation for key research initiatives. - Make cutting-edge foundation model research a reality at scale. Implement, optimize, and build novel foundation models from the initial research prototypes to high-performance production models. - Optimize performance of large-scale ML systems, including distributed training, inference efficiency, and GPU-level optimizations where necessary. - Constantly engage with deep learning literature, building upon novel architectures and training methods to create new capabilities. - Bridge machine learning research and computational chemistry workflows, working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs. - Help productionize Pearl and related structure prediction models, enabling reliable deployment and integration into Genesis’ internal and partner drug discovery pipelines. - Own the experimental lifecycle with scientific rigor. You'll design experimental plans, own their execution on our large-scale compute infrastructure, and drive the deep analysis of results to inform the next research cycle and to validate most promising approaches. - Ship state-of-the-art models to production, - Collaborate intensely. Work closely with the broader team to integrate your models into our drug discovery platform. - Mentor and guide other researchers and engineers, fostering a culture of high-quality code, rigorous experimentation, and continuous innovation. - Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. Who You Are - 2+ years industry experience of building complex ML systems. - A research engineer with deep ML rigor. You have deep expertise in building scalable, high-performance foundation models, pretraining, and posttraining methods, and systems around them. - A builder who ships. You write clean, high-performance code and are comfortable working across the ML stack (Python, PyTorch, distributed training systems). You have demonstrated experience translating research into working systems quickly. - An expert in modern ML engineering. You understand the mathematics and systems behind modern ML methods. You can design, optimize, and implement novel modeling approaches. - Experienced in training models at scale. You understand distributed training, large-scale datasets, and performance optimization across GPU clusters. You thrive in environments where models move rapidly from prototype to production. - Experience with GPU systems programming Hands-on experience writing CUDA kernels or optimizing GPU workloads beyond standard frameworks. - Hands-on experience with our core libraries: PyTorch, PyTorch Lightning, and Ray Distributed Training, PyTorch Geometric, etc. - Comfortable in research ambiguity. You can iterate on novel architectures, training pipelines, and experimental ideas while maintaining rigorous engineering discipline. - A first-principles thinker. You approach problems from fundamentals and take pride in building robust systems from conceptual design to state-of-the-art implementation. - A curious mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. - A strong cross-functional collaborator. You communicate effectively with scientists across disciplines including computational chemistry, structural biology, and medicinal chemistry. - No prior biology or chemistry experience is required, though curiosity and willingness to learn are essential. Nice to haves - Experience with novel research in one or more of the following domains: LLMs, diffusion, reinforcement learning or other cutting edge generative or predictive machine learning models. - Computational chemistry or drug discovery systems Especially experience related to protein-ligand structure prediction, small-molecule modeling, or computational drug discovery workflows. - Generative modeling methods Diffusion models or other generative architectures applied to scientific or molecular problems. - LLM post-training techniques Experience with SFT, RLHF, synthetic data pipelines, or other post-training systems. - Performance engineering Experience with Triton kernels, TensorRT, quantization, or large-scale model serving. - Publications in top-tier ML venues NeurIPS, ICML, ICLR, or similar. - Experience with ML frameworks used at Genesis PyTorch, PyTorch Lightning, Ray Distributed Training, PyTorch Geometric, or related systems. - Advanced degree MS or PhD in machine learning, computer science, computational science, or equivalent research/engineering experience. What we offer - Competitive compensation package that includes salary and equity. - Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). - 401(k) plan. - Open (unlimited) PTO policy. - Free lunches and dinners at our offices. - Paid family leave (maternity and paternity). - Life and long- and short-term disability insurance. About Genesis Molecular AI Genesis Molecular AI http://genesis.ml is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl https://www.businesswire.com/news/home/20251028030745/en/Genesis-Molecular-AI-Unveils-Pearl-a-Field-Leading-Foundation-Model-that-Achieves-Unprecedented-Performance-in-Drug-Protein-Structure-Prediction for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes https://www.forbes.com/sites/innovationrx/2026/05/20/inside-incytes-120-million-ai-for-drug-development-deal/ and GEN https://www.genengnews.com/topics/artificial-intelligence/small-molecules-to-big-partnership-incyte-genesis-expand-ai-collaboration-to-1b/) with a total potential deal value of several billion dollars. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Listed by Genesis Molecular AI for a position based in the United States. Employers on this board attest they are hiring domestically.

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