Generate Biomedicines

Generate Biomedicines

Senior Director, Protein Analytics & Biophysics

Somerville, MA · Director

Sponsorship not specifiedDetected 50 days ago
Machine LearningStatisticsA/B TestingPharmacy PracticeMolecular BiologyMass SpectrometryAnimal StudiesLeadershipCommunicationCollaborationMentoring

About the role

  • Define the next generation of biophysical, biochemical, developability, and protein-protein interaction measurement capabilities for protein therapeutics, with a particular focus on miniaturized, pooled, high-throughput, and nanoscale approaches.
  • Establish data standards, quality expectations, assay controls, and analytical frameworks that allow high-throughput measurements to be used confidently for model training, candidate triage, and program decision-making.
  • Ensure the function generates high-quality, decision-enabling data across Discovery, Candidate Selection, and early Development, including developability, stability, specificity, affinity, kinetics, and manufacturability-relevant attributes.

Responsibilities

  • The right person will be energized by the challenge of connecting micro- and nanoscale assay innovation with Generate's AI/ML-enabled protein design engine.
  • Drive operational excellence across the function, including prioritization, resource planning, milestone delivery, metrics, continuous improvement, and clear communication of tradeoffs.
  • Build, coach, and develop a high-performing team of managers, senior scientists, and technical experts, creating clear growth paths and succession strength within the function.
  • Develop leadership capability across the organization by mentoring managers, growing future leaders, and strengthening Generate's broader scientific culture.
  • Manage external collaborations, CRO strategy, academic relationships, vendor partnerships, and technology scouting efforts that increase scale, speed, and scientific differentiation.
  • Generate:Biomedicines is seeking a scientifically bold, highly collaborative Senior Director to lead Protein Analytics & Biophysics within our Therapeutics division.
  • This role will own the continued excellence of conventional protein analytics, developability, and protein-protein interaction technologies while building the next generation of at-scale experimental systems.

Nice to have

  • 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.
  • Deep technical expertise across conventional analytical and biophysical methods, such as HPLC/UPLC (SEC, RP, HIC, IEX), LC/MS, CE-SDS, cIEF, DSF, DSC, DLS, SEC-MALS, SPR, BLI, and related technologies.
  • Strong understanding of protein-protein interaction measurement, including affinity, kinetics, specificity, cross-reactivity, epitope/binning, avidity, and context-dependent binding behavior.
  • Strong quantitative mindset and experience using data quality, assay statistics, modeling, and informatics to shape scientific strategy, technology investment, and operational decision-making.
  • Experience partnering closely with prototyping, automation, engineering, computational, and technology teams to translate exploratory assay concepts into robust, reproducible, and scalable capabilities.
  • Exceptional collaboration and communication skills, with a clear track record of influencing across complex, matrixed organizations and engaging executive stakeholders with clarity, candor, and credibility.
  • Experience advancing biologics programs across Discovery and early Development, with an understanding of developability considerations, candidate selection, and downstream impact.

Benefits

  • Set and drive the multi-year scientific and organizational vision for Protein Analytics & Biophysics, aligning functional strategy with Generate's platform, portfolio, and company priorities.

Company info

  • Partner effectively across functions to advance shared company goals.

This listing is sourced directly from Generate Biomedicines's careers page and normalized into a canonical job model.