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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in protein engineering and analytical chemistry, with a strong focus on biologics development, data analysis using Python or R, and the ability to evaluate and communicate scientific reasoning and uncertainty. Proficient in developing and curating complex biological data sets and workflows.
Highest-signal resume keywords
PhD In Protein EngineeringAnalytical/CMC CharacterizationPython Or R For Data AnalysisHands-On Analysis Of Antibody Development DataDaily Use Of AI Agents
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Analytical ChemistryProtein EngineeringDevelopability TriageImmunogenicity AssessmentPK ModelingData CurationKinetic FittingCharge-Variant CEGlycan LC-MSSEC-MALS
Soft Skills
Ability To Communicate UncertaintyCritical ThinkingIndependent Work
Tools & Technologies
ClaudeCursorAI Agents
Industry Keywords
Biologics DevelopmentDMPKFDA Immunogenicity GuidanceICH Q6B/Q5EIMGTSAbDabIEDB
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Serve as the scientific authority on ground truth for the TxBench biologics development benchmark
- Convert real development workflows into file-based tasks with structured outputs and deterministic grading
- Develop tasks covering developability triage, analytical/CMC characterization, PK and FcRn reasoning, immunogenicity, effector function and safety, and first-in-human dose projection
- Write gold-standard answers from raw data with realistic tolerances
- Curate developability, glycan LC-MS, charge-variant CE, intact/subunit MS, SEC-MALS, FcRn/FcγR sensorgram, PK, immunogenicity, and effector-assay data fixtures
- Partner with software engineers and scientists to create benchmark workflows
- Evaluate whether AI agents distinguish genuine liabilities from analytical artifacts
- Assess whether agents align effector function and affinity with mechanism
- Evaluate linear versus target-mediated clearance and target product profile fit
- Interrogate agent reasoning step by step and challenge unsupported conclusions
- Identify failure points, corrective expert actions, and evidence that would change decisions
- Score agent confidence and reward explicit uncertainty
- Participate in a few pod check-ins per week while working independently on a self-directed schedule
Requirements
What you’ll need- PhD in protein engineering, biochemistry, analytical chemistry, pharmacology, or a related field
- Hands-on analysis of antibody development data
- Deep expertise in at least one area: analytical/CMC characterization, large-molecule DMPK, protein engineering and developability, or non-clinical safety
- Working fluency across the other biologics development areas
- Command of how readouts map to critical quality attributes, PK and effector properties, and release or comparability decisions
- Python or R for data analysis, including parsing chromatograms and electropherograms, kinetic fitting, or PK modeling
- Daily use of Claude, Cursor, or similar AI agents
- Ability to identify technically correct but scientifically unsound model reasoning
- Ability to calibrate confidence and communicate uncertainty
- Bonus: antibody format and Fc engineering experience, including IgG subclasses, YTE/LS, effector-silencing, and bispecific architectures
- Bonus: familiarity with MAM, ICH Q6B/Q5E, FDA immunogenicity guidance, IMGT, SAbDab, and IEDB
- US citizenship, permanent residence, or OPT-holder status
- Must not require STEM OPT extension or sponsorship
Benefits
Comp & perks- Guaranteed pay for weeks 1–4 while ramping
- Uncapped upside
- Full-time schedule with autonomy
- Onsite catered lunch and dinner daily
- Waterfront office in Mission Bay
- Monthly parking when available
- Company outings most months
- Team off-sites
- Latch run club, cycling, boxing, ice skating, and soccer
- Radical transparency and flexible work approach