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Senior Scientist I, Protein Analytics & Biophysics

$125K–$165K

Somerville, MA +1 · Senior · Full-time · Posted Oct 19, 2026

Location
Somerville, MA
Somerville, Massachusetts, United States
Experience
Ph.D. route: 4+ years of relevant research experience; M.S. route: 8+ years of relevant experience; equivalent experience may be considered.
Education
Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, or a related discipline; or M.S. with equivalent experience considered.

About the job

Leads hands-on protein analytical and biophysical characterization, developing methods and interpreting data to support discovery programs and a machine-learning-powered platform.

What you'll do

  • Execute and develop analytical, separation, binding, and biophysical workflows to assess protein quality and developability.
  • Design experiments, troubleshoot methods, interpret results, and recommend follow-up studies for project teams.
  • Provide technical leadership on assigned projects and contribute to emerging molecular barcoding, mass spectrometry, proteomics, and data-integration approaches.

What they ask for

  • Ph.D. in a related discipline with 4+ years of relevant research experience, or M.S. with 8+ years; equivalent experience may be considered.
  • Hands-on expertise in biophysical characterization of proteins, including developability assessments.
  • Practical experience with protein separation science and chromatography.
  • Ability to independently plan experiments, troubleshoot workflows, interpret data, and recommend next steps.

Nice to have

  • Experience with SPR or related binding technologies; BLI or other kinetic and affinity-based assays are also valuable.
  • Experience with mass spectrometry, proteomics, structural mass spectrometry, molecular barcoding, or related technologies.

Pay

$125,000 — $165,000 USD per year (base salary)

Tools

SPR, BLI, SEC, IEX, HIC, capillary electrophoresis, mass spectrometry, proteomics

AI focus

Supports a machine-learning-powered discovery platform and contributes to machine-learning-enabled data integration; collaborates with computational and machine-learning teams.

Model-written summary · the original posting is authoritative

First seen Oct 20, 2026 · Last verified Nov 6, 2026 (UTC)