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Generate Biomedicines

Develops on-demand medicines using generative biology

Senior Director - Protein Analytics & Biophysics

Biology & BiotechConfirmed live in the last 24 hours
Full-timeSomerville, MA, USAIn-person

About the Job

Requirements

  • A 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.
  • At least 12 years of experience in biopharma, biotechnology, synthetic biology, protein engineering, or a related field, with substantial leadership experience in protein analytics, biophysics, developability, and protein-protein interaction characterization.
  • Progressive experience in biopharma, biotechnology, synthetic biology, protein engineering, or a related field, with substantial leadership experience in protein analytics, biophysics, developability, and protein-protein interaction characterization.
  • A track record of building, inventing, or scaling novel assay platforms for protein therapeutics, especially miniaturized, pooled, multiplexed, microfluidic, barcode-enabled, sequencing-enabled, cell-based, or nanoscale biophysical or biochemical measurements.
  • Demonstrated ability to move beyond single-sample, low-throughput paradigms and create experimental systems that generate high-dimensional, quantitative data at the scale needed for AI/ML-enabled protein design.
  • 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.
  • A 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.
  • Demonstrated success as a senior people leader, including leading leaders, developing senior scientific talent, and scaling high-performing teams through periods of change.
  • Experience advancing biologics programs across Discovery and early Development, with an understanding of developability considerations, candidate selection, and downstream impact.

Responsibilities

  • Set and drive the multi-year scientific and organizational vision for Protein Analytics & Biophysics, aligning functional strategy with platform, portfolio, and company priorities.
  • Define the next generation of biophysical, biochemical, developability, and protein-protein interaction measurement capabilities for protein therapeutics, focusing on miniaturized, pooled, high-throughput, and nanoscale approaches.
  • Lead the continued evolution of conventional analytical and interaction workflows, including HPLC/UPLC, LC/MS, electrophoretic, thermal stability, light scattering, plate-based, and biosensor-based platforms, ensuring rigor, reproducibility, and decision relevance.
  • Build a strategy that connects conventional analytical and biosensor technologies with emerging pooled or massively multiplexed approaches, enabling measurement of protein attributes at scales that match generative design output.
  • Partner with Prototyping, Technology, Automation, Data Sciences, Machine Learning, Protein Sciences, Biology, and CMC/Tech Ops to design, operationalize, validate, and scale new assay concepts into production-quality capabilities.
  • Identify, evaluate, and implement external and internal technologies that can unlock smaller sample volumes, richer attribute profiles, higher throughput, improved sensitivity, or new classes of protein interaction and developability data.
  • 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.
  • Drive operational excellence across the function, including prioritization, resource planning, milestone delivery, metrics, continuous improvement, and clear communication of tradeoffs.
  • Represent the function with executive stakeholders and external partners, translating complex scientific strategy into clear, compelling, and actionable plans.
  • Lead as a people leader and culture builder who develops trust, accountability, scientific ambition, and collaboration across a multidisciplinary organization.
  • 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.
  • Guide the team through transition with empathy and clarity while raising the technical bar for platform innovation, cross-training, and multidisciplinary biophysics.
  • Foster an inclusive, transparent, and feedback-rich environment where individuals are empowered to take initiative, share knowledge, and continuously improve.
  • Set a high bar for technical excellence and partnership, making collaboration across functions a visible standard for success.
  • Partner effectively across functions to advance shared company goals.
  • Develop leadership capability across the organization by mentoring managers, growing future leaders, and strengthening the broader scientific culture.
  • Manage external collaborations, CRO strategy, academic relationships, vendor partnerships, and technology scouting efforts that increase scale, speed, and scientific differentiation.

Desired Qualifications

  • Experience creating platform capabilities that support machine learning-enabled discovery, closed-loop experimental systems, or large-scale design-build-test-learn cycles.
  • Experience with pooled screening strategies, DNA-encoded or barcode-linked readouts, sequencing-based measurements, display technologies, high-throughput synthetic biology, or massively multiplexed protein interaction datasets.
  • Experience developing assays that require very low material input, operate at micro- or nanoscale, or integrate microfluidics, acoustic dispensing, advanced imaging, high-content detection, or next-generation automation.
  • Experience serving as an external scientific spokesperson, thought leader, founder-like platform builder, or conference presenter in biophysics, protein analytics, developability, protein engineering, or high-throughput interaction biology.
  • Familiarity with regulatory expectations and analytical strategy in support of candidate selection and early development.

About the Company

Generate Biomedicines

Develops on-demand medicines using generative biology

Generate Biomedicines uses generative biology to design medicines with the Generate Platform, combining machine learning, biological engineering, and medicine to create novel therapeutics. The Generate Platform analyzes millions of proteins to learn the rules by which nature encodes function, then designs and produces medicines with specific therapeutic functions, enabling on-demand protein and drug design across multiple areas. It differentiates itself by combining a scalable, data-driven design workflow with hands-on biology to shift drug discovery from a purely exploratory process to proactive, on-demand creation, with a goal of democratizing biotherapeutics. The company's objective is to make medicines faster and more accessible across diverse therapeutic areas through its Generate Platform and expert team.

Company size
201-500
Company stage
IPO
Headquarters
Somerville, MA
Founded
2018

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