Bioinformatics Engineer - Biologics

As molecular data generation and frontier model intelligence continue to advance, new approaches to data analysis are needed across the biotech industry. Our client builds intelligent, high-performance AI agents for biological data analysis, supporting thousands of scientists across a large network of R&D labs, handling data from instrument to insight.

They're seeking a Bioinformatics Engineer to join their Biologics Drug Discovery team, working at the frontier of what AI can achieve in biology.

You'll contribute to the technical approach for evaluating how AI agents reason through complex biologics therapeutics datasets. Working alongside software engineers and biologists, you'll build ground-truth benchmark datasets, drawn from real antibody and protein discovery programs, that rigorously test whether agents can perform the critical decision-making steps human scientists execute. Your hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization will define how agent capability is measured in therapeutic discovery.

• 2+ years of hands-on experience in biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology-driven target validation).
• Experience interpreting binding kinetics (SPR/BLI), biophysical stability data, and/or cell-based potency assays.
• Proficiency in Python and/or R for data analysis and visualization.
• Familiarity with at least one of: antibody optimization (CDR engineering, VH/VL pairing, variant screening); protein structure (Alpha Fold, cryo-EM, docking); high-throughput antibody/binding screens; PK/PD modeling for biologics (target occupancy, half-life, clearance); or bioprocess/manufacturability constraints.

Experience with immunogenicity risk assessment.

Hands-on work with potency assay design (ELISA, cell-based, biochemical).

CMC/GMP-adjacent knowledge.

The team values hard work and output over face time, a collaborative rather than competitive internal culture, and cross-domain learning across benches. Based in San Francisco with daily meals, snacks, and a range of team social activities.

• Contract-based role (1099/W8-BEN equivalent), full-time hours, no fixed end date.
• Fully performance-based pay in the $120K-$180K range, uncapped upside tied to output.
• Paid ramp period with full target earnings from day one.
• Remote (global), hybrid, or onsite in San Francisco (onsite preferred).
• Work authorization
  : OPT visa holders only (excluding STEM Extension).
• Candidates who meet the above and have proven management experience may be considered for more senior positions.

Fast-moving process, roughly 8-12 days from submission to offer: intro screen with a technical recruiter, take-home technical project, technical interview with a member of technical staff, culture interview with senior leadership (if applicable), then offer.