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Data selection and quality evaluation for biological foundation models Palo Alto, CA Apply At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team. We advance the state of the art in molecular design by training large-scale foundation models that enable cutting-edge generative approaches. Those models depend on rich, high-quality experimental data that captures biological function. Progress requires not only building better models, but also designing better experiments, understanding measurement systems, and generating datasets that faithfully represent underlying biology. You will collaborate closely with biologists and machine learning researchers to design, analyze, and improve the experiments that power our models. You will help determine what data should be generated, how experiments should be structured, how measurement artifacts can be identified, and how biological insights can be translated into scalable data generation strategies. Your Mission, should you choose to accept it Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise Develop statistical and computational approaches to characterize assay quality, reproducibility, and sources of experimental variation Identify and investigate sources of bias and measurement artifacts in biological datasets Design and analyze large-scale biological experiments that generate training and evaluation data for machine learning models Partner with experimental scientists to improve assay design, controls, and data collection strategies Collaborate with machine learning researchers to understand how experimental design decisions impact model training and evaluation Analyze, visualize, and communicate findings to support decision-making across scientific and engineering teams Qualifications PhD in computational biology, systems biology, genomics, bioengineering, biostatistics, biophysics, or a related quantitative discipline, or equivalent practical experience Demonstrated track record of analyzing complex biological datasets and translating computational insights into experimental validation or new data collection Strong foundation in experimental design, statistical analysis, and quantitative reasoning Deep understanding of sources of experimental variability, batch effects, and assay artifacts in biological data Capable programmer in Python and common scientific computing libraries Excellent written and verbal communication skills, including the ability to communicate effectively across computational and experimental disciplines Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET Readiness to travel several times a year for company retreats and business events We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations Preferred technical skills 3+ years of post-PhD experience in computational biology, biostatistics, or a related field Experience connecting experimental outcomes to machine learning model development and evaluation Compensation $135K – $240K + Bonus + Equity What we offer A competitive compensation package 30 days paid vacation per year Comprehensive health insurance for US based Beginners 401K with company match for US based Beginners and Direktversicherung for German Beginners Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth A buddy to help you get settled *Varies by country and does not apply to internships At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process. Apply for this job * indicates a required field 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 LinkedIn Profile Please describe your most impactful technical accomplishment* What sets you apart as a candidate for this role at Inceptive?* Submit application

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

Bio + Health

55 days ago

Characterizing biological foundation models

Inceptive · Palo Alto, CA

Pay

Not listed

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On-site

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Computational design of biological experiments for model development Palo Alto, CA Apply At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team. We advance the state of the art in molecular design by training large-scale foundation models that enable cutting-edge generative approaches. Those models learn from diverse biological datasets and are refined through focused experimentation, large-scale training, and feedback from lab measurements. Progress depends not only on building better models, but also on understanding what they learn, where they fail, how data shapes their behavior, and how to evaluate them against biologically meaningful objectives. You will collaborate closely with AI researchers and biologists to rigorously characterize the behavior, capabilities, and limitations of biological foundation models and their applications. You will identify valuable datasets, develop meaningful evaluations, investigate model behavior, and generate insights that guide model development, data strategy, and experimental priorities across the company. Your Mission, should you choose to accept it Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise Investigate how model performance changes with data quantity, data quality, dataset composition, and training methodology Develop biologically meaningful evaluations and benchmarks that measure progress toward therapeutic design objectives Design and execute rigorous experiments to understand the behavior, capabilities, and limitations of biological foundation models Identify sources of potential artifacts, bias, and noise in biological datasets Identify promising biological datasets for model training and evaluation, and develop computational pipelines for preprocessing, quality control, and exploratory analysis. Design studies, in silico or in the lab, that reveal what models have learned and which biological signals drive model behavior Work with biologists to formulate hypotheses and translate biological questions into measurable machine learning experiments Partner with AI researchers and engineers to prioritize research directions, data collection efforts, and model improvements Analyze, visualize, and communicate experimental findings to inform decisions across teams Qualifications PhD in computational biology, statistics, physics, machine learning, or a related quantitative discipline, or equivalent practical experience, with record of publications or open source tooling in these fields Strong quantitative reasoning and statistical intuition Demonstrated ability to identify important scientific questions, design rigorous investigations, and draw reliable conclusions from complex biological data. Experience analyzing high throughput sequencing data (e.g. RNA-seq, functional genomics / transcriptomics, MPRA), with a focus on robust statistical analysis Experience collaborating closely with AI/machine learning researchers or applying machine learning or generative AI tools to scientific problems Familiarity with current AI/machine learning methods, including generative foundation models, representation learning, and model evaluation Familiarity with publicly available biological datasets and data derived from high throughput assays Capable programmer in Python and common scientific computing libraries Excellent written and verbal communication skills, including the ability to explain complex findings to audiences with diverse technical backgrounds Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET Readiness to travel several times a year for company retreats and business events We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations Preferred technical skills 3+ years of post-PhD experience in computational biology, biostatistics, machine learning research, or a related field Compensation $135K – $240K + Bonus + Equity What we offer A competitive compensation package 30 days paid vacation per year Comprehensive health insurance for US based Beginners 401K with company match for US based Beginners and Direktversicherung for German Beginners Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth A buddy to help you get settled *Varies by country and does not apply to internships At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process. Apply for this job * indicates a required field 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 Can you work full time from our office in Palo Alto, California? * Select... Describe a specific instance when you collaborated with colleagues to analyze, debug and / or improve the design of an experiment.* Submit application

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

Bio + Health

97 days ago

Accelerating impact through partnerships

Inceptive · Palo Alto, CA

Pay

$135k–240k

Setting

On-site

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Accelerating impact through partnerships Palo Alto, CA Apply At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. We are looking for an exceptional and motivated individual to join our business development team. You will be joining a dynamic and agile team, set to execute on our mission and capitalize on scientific, business, and strategic opportunities. We are seeking an Alliance Manager to lead and grow our strategic partnerships in oligonucleotide therapeutics, with a primary focus on small interfering RNA (siRNA) drug discovery. As a key member of our Business Development team, you will serve as the primary interface between our company and our external partners — spanning pharmaceutical companies, academic institutions, and technology providers — ensuring alliances are structured for scientific success and commercial value. This role sits at the intersection of cutting-edge AI-driven biology and next-generation RNA therapeutics. You will leverage our proprietary AI platform to identify, establish, and manage high-impact collaborations that accelerate the development of siRNA-based medicines. Your mission, should you choose to accept it Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise Serve as the primary point of contact for existing siRNA and oligonucleotide partnerships, managing day-to-day alliance operations and escalation pathways Establish and lead Joint Steering Committees (JSCs), Joint Research Committees (JRCs), and other governance bodies, preparing agendas, minutes, and action tracking Monitor contractual milestones, deliverables, and timelines; proactively identify and resolve issues that could jeopardize partnership success Coordinate cross-functional internal teams (Biology, Chemistry, AI/ML, Regulatory, Legal, Finance) to fulfill partner obligations and advance shared programs Drive successful execution of partnered programs against scientific and operational milestones and enable expansion opportunities across strategic partnerships Prepare documents and presentations to senior management to help drive decision-making through the deal process Travel to industry events, scientific or business oriented Scientific & Strategic Engagement Develop a deep understanding of partner pipelines, strategic priorities, and siRNA platform capabilities to align collaboration goals Translate AI platform outputs and siRNA design insights into compelling partnership narratives for both scientific and business audiences Collaborate with internal discovery teams to ensure partner-facing scientific deliverables meet alliance commitments Stay current on competitive landscape in RNAi therapeutics, GalNAc-siRNA conjugates, lipid nanoparticle (LNP) delivery, and AI-driven target discovery Qualifications Ph.D. or M.S. in Molecular Biology, Biochemistry, Pharmacology, or a related life sciences field; MBA a plus 5+ years of experience in alliance management, business development, or strategic partnerships within the biopharmaceutical or biotech industry Working knowledge of oligonucleotide therapeutics — particularly siRNA biology, mechanism of action, and drug development challenges Demonstrated experience managing complex, multi-party research or licensing collaborations from initiation through program delivery Exceptional interpersonal, negotiation, and communication skills; ability to influence without direct authority across internal and external stakeholders Strong project management skills with proficiency in tools such as Linear, Notion, or equivalent platforms Familiarity with AI/ML applications in drug discovery, including sequence-based target identification or predictive ADME/toxicity modeling Prior experience negotiating term sheets, CDAs, MTAs, or master research collaboration agreements Existing network within the oligonucleotide therapeutics ecosystem (pharma, biotech, CRO, and academic partners) Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 7am PT or finishing at 7pm CET Readiness to travel several times a year for company retreats and business events We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations Compensation $135K – $240K + Bonus + Equity What we offer A competitive compensation package 30 days paid vacation per year Comprehensive health insurance for US based Beginners 401K with company match for US based Beginners and Direktversicherung for German Beginners Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth A buddy to help you get settled *Varies by country and does not apply to internships At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process. 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 Website LinkedIn Profile Briefly describe the most complex scientific partnership or alliance you have personally managed.* The organizations involved (you may anonymize names if needed) The scientific focus of the collaboration Your exact role and responsibilities A disagreement, misalignment, or escalation that threatened the partnership The actions you personally took to resolve it The outcome, including any measurable impact on timelines, milestones, economics, or relationship health Please be specific about what you did versus what your team or organization did. Submit application

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

Bio + Health

240 days ago

Advancing Inceptive's commercial strategy

Inceptive · Palo Alto, CA

Pay

$135k–240k

Setting

On-site

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Advancing Inceptive's commercial strategy Palo Alto, CA Apply At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. We are looking for an exceptional and motivated individual to join our business development team. You will be joining a dynamic and agile team, set to execute on our mission and capitalize on scientific, business, and strategic opportunities. We are seeking a Business Development professional to help identify, structure, and execute strategic partnerships. This role sits at the intersection of science, strategy, and dealmaking, and will work closely with leadership, scientists, and external partners. Your mission, should you choose to accept it Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise Identify and source new business opportunities with biotech and pharma through market research, networking, and by building business relationships to expand Inceptive’s network Lead outbound BD efforts, including prospecting, relationship building, and pipeline management Support deal execution (term sheets, negotiations, diligence, closing) Collaborate with scientific and technical teams to translate platform capabilities into partner value Conduct market analysis and competitive intelligence to inform BD strategy Prepare documents and presentations to senior management to help drive decision-making through the deal process Travel to industry events, scientific or business oriented Qualifications Masters in science (PhD preferred), ideally with a background in biologics, genetic medicines, or deep learning methods applied to drug development 3 years of experience in business development in pharma, biotech or VC Proven ability to work in a fast pace environment as part of a team, apprehend business concepts relevant to biotech or techbio, and manage multiple projects effectively Track record of collaboratively partnering with internal technical stakeholders Deep understanding of the drug discovery and the development and commercialization process (understanding of computational biology a plus) Good business instincts and fluency with business analytics and deal valuation methodologies Ability to engage both scientific and business stakeholders Outstanding oral and written communication, interpersonal, and negotiation skills Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET Readiness to travel several times a year for company retreats and business events We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations Compensation $135K – $240K + Bonus + Equity What we offer A competitive compensation package 30 days paid vacation per year Comprehensive health insurance for US based Beginners 401K with company match for US based Beginners and Direktversicherung for German Beginners Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth A buddy to help you get settled *Varies by country and does not apply to internships At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process. Apply for this job * indicates a required field 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 Describe a time when you identified a new business opportunity in the biotech or pharma space. How did you source it, and what steps did you take to move it forward?* This role requires close collaboration across scientific, technical, and business functions. Can you share an example of a time when you’ve collaborated with technical teams to integrate business and market insights into the technical/product roadmap?* Given our focus on an “antedisciplinary” environment: what areas outside your core expertise are you most eager to learn about, and how would you approach developing that knowledge?* Managing multiple deals and projects in parallel is critical in this role. What tools, strategies, or processes do you rely on to stay organized and ensure effective execution under time pressure?* Submit application

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

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