Drimva

Generate Biomedicines

Associate Director, Biotherapeutic Production and Characterization

$160K–$210K

Somerville, MA +1 · Director · Full-time · Posted Oct 14, 2026

Location
Somerville, MA
Somerville, Massachusetts, United States
Experience
8 years of relevant industry experience with a PhD, or 10 years with an M.S.
Education
PhD in biochemistry, molecular biology, chemical engineering, bioengineering, protein sciences, or a related discipline; or an M.S. in a related discipline.

About the job

Leads a scientific team delivering protein production, purification, and characterization workflows and assay-ready reagents to support discovery and early-development decisions.

What you'll do

  • Oversee end-to-end protein production, purification, characterization, quality control, and assay-ready handoff across multiple expression systems.
  • Set scientific and operational priorities, manage resources and external partners, and represent the function on cross-functional teams.
  • Develop the team and advance automation, data practices, AI/ML-enabled tools, and production capabilities.

What they ask for

  • PhD in a related discipline and 8 years of relevant industry experience, or an M.S. in a related discipline and 10 years of relevant industry experience.
  • Demonstrated success leading and developing scientific teams in biotechnology or pharmaceuticals.
  • Experience producing or characterizing complex biologics, including multispecific antibodies.
  • Expertise in protein expression, purification, and characterization, including construct design and optimization.

Nice to have

  • Experience with cell-free or other specialized expression systems.
  • Experience establishing relationships with CROs, vendors, or external technology partners.

Pay

$160,000 — $210,000 USD (base salary)

Tools

mammalian, bacterial, cell-free, affinity capture, size-exclusion chromatography, automation, AI/ML-enabled tools

AI focus

Adopts AI/ML-enabled tools and agentic workflows to support protein design, production, characterization, and scientific learning at scale.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)