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Director, Research - AI Evals
San Francisco, CA • New York, NY • United States
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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered experiences. As Figma ships more AI capabilities across our products, the question "is this really good?" has never mattered more — and answering it rigorously is what this role exists to do. You'll define what "good" means for our AI features, build the frameworks and quality bars to measure it, and turn that into trusted signal that product teams rely on to decide what to ship.
The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products — blending human evaluation with automated, model-based approaches — along with the product instinct and communication skills to make evaluation genuinely useful. Partnering with Product, Design, Engineering, and Data Science, you'll sit upstream of nearly every AI shipping decision at Figma and directly shape the quality of features used by millions of people.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Own AI evaluation methods and operations for Figma's AI-powered experiences — define quality dimensions, design how we measure them, and turn results into decision-ready signal
Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars, combining human evaluation with automated/model-based approaches (e.g., LLM-as-judge) where appropriate
Partner with engineering to stand up repeatable, reproducible evaluation pipelines and regression testing, so evaluation is a routine part of how AI features are built and shipped
Produce clear readouts and dashboards that let stakeholders confidently make go/no-go and prioritization decisions
Socialize a shared definition of quality so evaluation standards are adopted across teams rather than re-invented — and advocate for evaluation as a strategic partner in the product process
Manage a small team to execute our AI evals in partnership with contractors, internal staff, and/or LLMs
We'd love to hear from you if you have:
10+ years of experience in product, research, applied research, or a closely related field, including 2+ years of management experience
Direct, hands-on experience owning the evaluation of AI/LLM-powered products
Expertise designing and running AI evaluation — human evaluation programs, rubric and benchmark/golden-dataset construction, inter-rater reliability — and sound judgment about when and how to apply automated/model-based approaches (e.g., LLM-as-judge), including their limitations
Strength across both qualitative and quantitative methods, comfort with data and metrics, and the ability to reason about model behavior
Demonstrated success in identifying the riskiest assumptions behind an ambiguous quality question, prioritizing them, and designing right-sized evaluation to build confidence
A proven track record of gaining buy-in from executive and cross-disciplinary stakeholders — transcending methodology to articulate a larger user story and the "so what" to inspire action
While it's not required, it's an added plus if you also have:
Experience building or co-building automated evaluation pipelines and regression testing in partnership with engineering, or familiarity with eval tooling (e.g., Braintrust, LangSmith, DeepEval, or equivalents)
Experience standing up a new function, practice, or discipline from scratch
2+ years in product design, user-centric product management, data science, product development, and/or front-end engineering
A familiarity and depth of experience using Figma's products
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000 - $348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
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Science
59 days ago
Senior Scientist, Protein Engineering
Xaira Therapeutics · South San Francisco, California, United States
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Senior Scientist, Protein Engineering
South San Francisco, California, United States
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About Xaira Therapeutics
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
About the Role
As a member of the Protein Engineering team, you will play a critical role in the discovery and development of next-generation protein therapeutics. You will be responsible for designing, engineering, producing, and characterizing therapeutic proteins and antibodies, with an emphasis on optimizing functional properties and developability. The ideal candidate will bring deep technical expertise in protein engineering, a strong understanding of antibody formats and developability metrics, and a collaborative mindset. This is a hands-on, on-site position.
Responsibilities
Partner with Disease Biology and Therapeutic Protein Design teams to evaluate new targets, define therapeutic hypotheses and target product profiles, and develop integrated drug discovery strategies.
Design and execute protein engineering strategies to optimize affinity, specificity, format, and developability.
Express, purify, and characterize tool and therapeutic proteins, including antibodies, using chromatographic techniques and biophysical/biochemical assays.
Coordinate binder discovery campaigns, working closely with internal teams to prioritize screening strategies, interpret results, and advance lead molecules.
Collaborate with screening, pharmacology, biology, and computational protein design teams to integrate experimental data, guide molecule optimization, and advance therapeutic protein programs toward clinical development.
Present data at protein engineering and cross-functional team meetings.
Maintain accurate, timely, and well-documented experiment records in ELN.
Contribute to the preparation of technical reports, regulatory documentation, and scientific presentations.
Ensure compliance with laboratory safety protocols; contribute to lab organization and operational efficiency.
Stay current with advances in antibody engineering and protein design.
Mentor and develop junior scientific staff to foster a high-performing and collaborative team.
Manage and oversee CROs for outsourced protein production, assay development, and screening, ensuring data quality and timely delivery.
Qualifications
Ph.D. in a relevant scientific discipline, with a strong foundation in molecular biology, biochemistry, structural biology, or a related field.
4+ years of industry experience in biotech or biopharma R&D supporting large molecule therapeutic programs.
Extensive hands-on experience in protein engineering, including structural and functional characterization of antibodies and proteins using state-of-the-art analytical methods.
Deep expertise in antibody formats, production, purification, and characterization.
Proficiency in developability assessments and stability studies.
Fluency with protein visualization and structural modeling software (e.g., PyMOL, AlphaFold).
Experience with protein–protein interaction assays (e.g., SPR, BLI) is preferred.
Experience interacting with Process Development teams and contributing to IND-enabling documentation is preferred.
Strong organizational, communication, and interpersonal skills.
Ability to propose novel scientific approaches and a genuine interest in exploring relevant therapeutic hypotheses.
Proactive, self-starter mindset with excellent problem-solving and troubleshooting capabilities.
Enthusiasm for working in a fast-paced, collaborative startup environment, with a demonstrated ability to foster cooperation and knowledge sharing across multidisciplinary teams.
A strong record of scientific achievement as evidenced by first-author publications in peer-reviewed journals or granted patents.
Compensation
Annual
We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 to $170,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.
TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
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Senior Algorithm Scientist
Hybrid - San Francisco, California
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Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.
We are looking for a Senior Algorithm Scientist to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.
What you will do:
Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes
Develop and maintain internal signal evaluation tools and libraries to help Oura’s hardware and firmware teams optimize current and next-generation products
Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)
Coordinate with cross-functional teams and overseas stakeholders
Requirements
We would love to have you on our team if you have:
PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field
3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc)
Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc)
Experience with biosignal sensing and wearable hardware (including hardware prototypes) is a plus
A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
Flexible schedule and good asynchronous communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week)
This role is based in San Fransisco, with at least three days in office.
Benefits
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
What we offer:
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
Region 1: $172,550 - $203,000
A recruiter can determine your zones/tiers based on your US location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
Our jobs are listed only on the ŌURA Careers page and trusted job boards.
We will never ask for personal information like ID or payment for equipment upfront.
Official offers are sent through Docusign after a verbal offer, not via text or email.
Stay cautious and protect your personal details.
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.
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Listed by ŌURA for a position based in the United States. Employers on this board attest they are hiring domestically.
Science
59 days ago
Director, Research - AI Evals
Figma · San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered experiences. As Figma ships more AI capabilities across our products, the question "is this really good?" has never mattered more — and answering it rigorously is what this role exists to do. You'll define what "good" means for our AI features, build the frameworks and quality bars to measure it, and turn that into trusted signal that product teams rely on to decide what to ship.
The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products — blending human evaluation with automated, model-based approaches — along with the product instinct and communication skills to make evaluation genuinely useful. Partnering with Product, Design, Engineering, and Data Science, you'll sit upstream of nearly every AI shipping decision at Figma and directly shape the quality of features used by millions of people.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Own AI evaluation methods and operations for Figma's AI-powered experiences — define quality dimensions, design how we measure them, and turn results into decision-ready signal
Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars, combining human evaluation with automated/model-based approaches (e.g., LLM-as-judge) where appropriate
Partner with engineering to stand up repeatable, reproducible evaluation pipelines and regression testing, so evaluation is a routine part of how AI features are built and shipped
Produce clear readouts and dashboards that let stakeholders confidently make go/no-go and prioritization decisions
Socialize a shared definition of quality so evaluation standards are adopted across teams rather than re-invented — and advocate for evaluation as a strategic partner in the product process
Manage a small team to execute our AI evals in partnership with contractors, internal staff, and/or LLMs
We'd love to hear from you if you have:
10+ years of experience in product, research, applied research, or a closely related field, including 2+ years of management experience
Direct, hands-on experience owning the evaluation of AI/LLM-powered products
Expertise designing and running AI evaluation — human evaluation programs, rubric and benchmark/golden-dataset construction, inter-rater reliability — and sound judgment about when and how to apply automated/model-based approaches (e.g., LLM-as-judge), including their limitations
Strength across both qualitative and quantitative methods, comfort with data and metrics, and the ability to reason about model behavior
Demonstrated success in identifying the riskiest assumptions behind an ambiguous quality question, prioritizing them, and designing right-sized evaluation to build confidence
A proven track record of gaining buy-in from executive and cross-disciplinary stakeholders — transcending methodology to articulate a larger user story and the "so what" to inspire action
While it's not required, it's an added plus if you also have:
Experience building or co-building automated evaluation pipelines and regression testing in partnership with engineering, or familiarity with eval tooling (e.g., Braintrust, LangSmith, DeepEval, or equivalents)
Experience standing up a new function, practice, or discipline from scratch
2+ years in product design, user-centric product management, data science, product development, and/or front-end engineering
A familiarity and depth of experience using Figma's products
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000—$348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
Listed by Figma for a position based in the United States. Employers on this board attest they are hiring domestically.
Cartography Biosciences
Associate Director / Director, Protein Sciences
Associate Director / Director, Protein Sciences
About Cartography Biosciences
Cartography Biosciences is advancing a differentiated oncology pipeline of antibody-based therapies designed to target tumors with unprecedented precision. The company’s ATLAS and SUMMIT discovery platforms are powered by an industry-leading, fully integrated dataset spanning hundreds of thousands of cell states across healthy tissues alongside large-scale single-cell profiling of patient tumors. By combining petabyte-scale proprietary data, machine learning, and AI-driven biological insights, Cartography is identifying highly specific tumor targets and logic-gated target combinations to generate therapies engineered for maximal tumor selectivity and meaningful patient impact. The company’s lead program, CBI-1214, is a T-cell engager in development for colorectal cancer. CBI-1214 entered the clinic in early 2026 and is currently enrolling and treating patients in a phase 1 trial.
We are looking for an Associate Director or Director of Protein Sciences to lead protein sciences and external manufacturing for our programs as they advance toward the clinic. You will be the technical lead for our CDMOs across process development, analytical development, and drug substance and drug product. You will also build and manage our research-stage expression, purification, and analytical and developability capabilities in house and through external CROs.
This is a hands-on, hybrid role based onsite in South San Francisco. You will work at the bench alongside associate scientists while also managing external manufacturing partners and CROs. The role balances hands-on internal work with external program management, and we expect the scope to evolve as the team and Cartography's CMC organization grow.
Key Responsibilities
External Manufacturing & CDMO Partnerships
Serve as the technical lead to our external manufacturing partners across cell line development, upstream and downstream process development, analytical method development, and GMP drug substance and drug product for gene to IND CMC programs
Ensure external programs deliver drug product to specification, on time, and on budget.
Communicate program progress, risks, and key decisions to the internal leadership team.
Support ongoing process development for clinical stage programs, including early high-concentration formulation development to enable subcutaneous dosing.
Protein Expression
Build recombinant antibody expression, in house and through external CROs, spanning 96-well / deep-well high-throughput transient screening and mL-to-L bench-scale transient mammalian production (Expi293, ExpiCHO, transient CHO) to support research and in vivo studies (mouse efficacy / PK and non-GLP NHP).
Run the expression pipeline as an internal service with clear intake, prioritization, and turnaround, tracking titer, yield, and quality in ELN entries and a LIMS-backed registry.
Optimize transient production of multi-chain bispecific and multispecific assemblies (knob-into-hole heterodimers, VHH-containing trispecifics), including plasmid chain-ratio tuning to maximize correctly assembled product.
Increase expression and screening throughput to support AI/ML-driven design, build, and test cycles.
Protein Purification
Build antibody and bispecific purification trains: Protein A capture with orthogonal polishing by ion exchange, hydrophobic interaction, and mixed-mode chromatography, plus analytical and preparative size-exclusion.
Develop format-specific strategies that resolve bispecific product-related species (heavy-chain homodimer, half-antibody, and light-chain-mispaired variants) from the correctly paired heterodimer.
Operate AKTA-scale chromatography and high-throughput magnetic-bead purification (KingFisher or equivalent) to support candidate triage and research supply.
Deliver low-endotoxin, high-monomer, clinically representative material meeting in vivo dosing specifications for pharmacology and toxicology studies.
Analytical & Developability Characterization
Manage and improve internal developability and characterization capabilities (e.g., analytical SEC, HIC, DSF, CE-SDS (reduced and non-reduced), and DLS).
Confirm correct chain pairing and quantify product-related species (homodimer, half-antibody, mispaired variants) for bispecific and multispecific molecules.
Own developability triage and candidate ranking, and feed results into lead selection with Antibody Engineering colleagues.
Team Leadership & Cross-Functional Work
Mentor and grow a small internal protein sciences team and set the day-to-day practices and priorities for the function.
Partner across Antibody Engineering, Computational Biology, Pharmacology, and program teams, and represent Protein Sciences in program reviews.
Required Qualifications
PhD in protein science, biochemistry, biophysics, chemical or biological engineering, or a related discipline with 6+ years (Associate Director) or 9+ years (Director) of biopharmaceutical industry experience; or an MS with commensurate additional directly relevant experience.
Demonstrated experience managing external CDMOs to deliver large-molecule drug substance and drug product on time and on budget.
Familiarity supporting Module 3 (CMC) of IND filings.
Experience with bispecific antibodies or other complex antibody formats (e.g. knob-into-hole, multispecific, VHH / single-domain fusions).
Experience with mammalian expression and cell line development, including transient systems (Expi293, ExpiCHO) and stable cell line development.
Experience building and optimizing multi-step antibody purification trains on FPLC systems (AKTA or equivalent), including Protein A capture and common polishing modalities (IEX, HIC).
Working knowledge of core biophysical and analytical methods (analytical SEC, HIC, DSF, CE-SDS, DLS).
Developability triage experience translating biophysical data into candidate selection decisions.
Preferred Qualifications
Experience with liquid-handling automation and high-throughput antibody purification and characterization.
High-concentration (greater than 100 mg/mL) subcutaneous formulation development and management of outsourced formulation programs.
Track record advancing a biologic through IND-enabling CMC.
Knowledge of T-cell engaging antibody platforms (TCEs, bispecifics, multispecifics) and a background in oncology or immuno-oncology.
Proficiency in a programming language (e.g. Python) and experience with AI-assisted or agentic coding tools.
The pay range for this role is:
195,000 - 215,000 USD per year (Associate Director)
220,000 - 245,000 USD per year (Director)
Apply now
Development
South San Francisco, CA
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Listed by Cartography Biosciences for a position based in the United States. Employers on this board attest they are hiring domestically.