Generate Biomedicines
Senior Director, Protein Analytics & Biophysics
$210K–$290K
Somerville, MA +1 · Director · Full-time · Posted Sep 9, 2026
- Location
- Somerville, MA
Somerville, Massachusetts, United States - Experience
- 12+ years; substantial leadership experience required.
- Education
- Ph.D. in Biophysics, Biochemistry, Molecular Biology, Chemical Biology, Bioengineering, Synthetic Biology, Protein Engineering, or a related scientific discipline; or equivalent depth of industry experience.
About the job
Leads Protein Analytics & Biophysics, advancing conventional and high-throughput measurement platforms to evaluate protein therapeutics and support AI/ML-enabled design.
What you'll do
- Set the scientific and organizational strategy for protein analytics, biophysics, developability, and protein interaction measurement.
- Build, validate, and scale conventional and miniaturized, pooled, multiplexed, or nanoscale assay capabilities.
- Lead and develop the team while partnering across scientific, data, technology, and development functions.
What they ask for
- Ph.D. in a related scientific discipline or equivalent depth of industry experience.
- 12+ years of relevant industry experience, with substantial leadership in protein analytics, biophysics, developability, and protein-protein interaction characterization.
- Track record of building, inventing, or scaling novel protein therapeutic assay platforms and generating quantitative, high-dimensional data.
- Deep expertise in analytical and biophysical methods, protein interaction measurement, quantitative analysis, and cross-functional platform development.
Nice to have
- Experience building capabilities for machine learning-enabled discovery, closed-loop systems, or large-scale design-build-test-learn cycles.
- Experience with pooled or barcode-linked assays, sequencing-based measurements, microfluidics, or other low-input, high-throughput approaches.
Pay
$210,000 — $290,000 USD per year base salary
Tools
HPLC/UPLC, LC/MS, CE-SDS, cIEF, DSF, DSC, DLS, SEC-MALS
AI focus
Develops high-throughput experimental systems and data capabilities to support AI/ML-enabled protein design, model training, candidate triage, and design-build-test-learn cycles.
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