Bioinformatics Engineer, Therapeutics

LatchBio

$120K — $180K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years experience in biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology)
  • Experience with binding kinetics interpretation (SPR/BLI) and biophysical stability data
  • Proficient in Python and/or R for data analysis and visualization
  • Familiarity with antibody optimization, protein structure, or high-throughput screening
  • Understanding of PK/PD modeling and bioprocess constraints

Responsibilities

  • Contribute to the development of a technical framework for analyzing complex therapeutics datasets
  • Collaborate with a team of engineers and biologists to build datasets for AI-driven learning
  • Teach AI agents to handle data across the discovery pipeline
  • Analyze therapeutics data to support real scientific decisions
  • Ensure the quality and applicability of data used in AI training

Benefits

  • Free meals for lunch and dinner
  • Waterfront office location in China Basin, San Francisco
  • Work environment is full-time, in-person but can accommodate remote work
Full Job Description
We're seeking a Bioinformatics Engineer for Therapeutics to join our therapeutics bench, working at the frontier of what artificial intelligence can achieve in biology.

About the Role

You will contribute to our technical approach to teaching agents how to understand and handle complex therapeutics datasets, working across end-to-end data analysis workflows from practical therapeutics data to real scientific decisions.

You will work as part of a team of software engineers and biologists building datasets to teach these agents to reason better across the discovery pipeline.

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

Compensation & Logistics
  • OTE 120k - 180k - Performance based pay
  • Free meals (lunch and dinner)
  • Waterfront office in China Basin, San Francisco
  • Full-time, in-person (can be remote)

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