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Bioinformatics Engineer - Biologics Drug Discovery

Latchbio

Remote · US$120k – $180k

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About this role

Bioinformatics Engineer - Biologics Drug Discovery

As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.

We're seeking a Bioinformatics Engineer to join our Biologics Drug Discovery team, working at the frontier of what artificial intelligence can achieve in biology.

About the Role

You will contribute to our technical approach for evaluating how AI agents reason through complex biologics therapeutics datasets. Working with 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 that human scientists execute.

Your hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization will define how we measure agent capability in therapeutic discovery.

Requirements

- 2+ years hands-on experience with 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 & visualization

- Familiarity with at least one of: - Antibody optimization (CDR engineering, VH/VL pairing, variant screening) - Protein structure (AlphaFold, cryo-EM, docking) - High-throughput antibody/binding screens - PK/PD modeling for biologics (target occupancy, half-life, clearance) - - Bioprocess/manufacturability constraints

Nice-to-Have

- Experience with immunogenicity risk assessment

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

- CMC/GMP-adjacent knowledge

Culture @ Latch

How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.

The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.

Compensation & Logistics

- 1099 (or W8-BEN) contract, 40 hrs/week, no end date

- Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.

- 2-4 week paid ramp—full OTE from day one

- Remote (globally), hybrid, or onsite in SF (onsite preferred)

- Work authorization: OPT visa holders only (not STEM Extension)

- Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)

- Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process

Timeline: We move fast: 8–12 days from submission to offer.

1. Intro Screen - Techcnial Recruiter

2. Take-Home Project - HackerRank

3. Technical Interview - Member of Technical Staff

4. Culture Interview - C-Suite (If applicable)

5. Offer

Salary insight

The midpoint of this range ($150k) is about 26% below the median disclosed salary for San Francisco roles listed on ForgeApply ($203k across 6,355 jobs).

Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.

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