Generate Biomedicines
Principal Scientist, Target Binding
$160K–$224K
Somerville, MA +1 · Principal · Full-time · Posted Oct 16, 2026
- Location
- Somerville, MA
Somerville, Massachusetts, United States - Experience
- At least 8+ years of relevant industry experience.
- Education
- Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, chemical biology, or a related discipline.
About the job
Leads target-binding strategy, assay development, and technology advancement across biotherapeutic programs while managing scientists and supporting cross-functional decisions.
What you'll do
- Lead target-binding strategy and develop quantitative protein–protein interaction and cell-binding assays, including for challenging molecular systems.
- Advance measurement technologies and establish standards for assay quality, data processing, reproducibility, and interpretation.
- Partner across programs, communicate findings, and manage, mentor, and develop junior scientists and research associates.
What they ask for
- Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, chemical biology, or a related discipline.
- At least 8+ years of relevant industry experience.
- Extensive industry experience developing and applying quantitative protein–protein interaction and target-binding assays; expertise with multiple technologies, including SPR, BLI, KinExA, and cell-binding assays.
- Experience leading scientific strategy across cross-functional programs and managing, mentoring, and developing scientists or research associates.
Nice to have
- Experience with biotherapeutic analytics and developability assessment, laboratory automation, high-throughput experimentation, or computational data pipelines.
- Proficiency with scripting, quantitative modeling, data science, or machine-learning workflows; practical experience with AI-enabled or agentic tools.
Pay
$160,000 — $224,000 USD per year base salary
Tools
SPR, BLI, KinExA, machine-learning
AI focus
Applies quantitative, statistical, machine-learning, and agentic approaches to improve experimental design, data analysis, troubleshooting, and scientific decision-making; preferred experience includes AI-enabled or agentic tools.
Model-written summary · the original posting is authoritative