Senior Director, Protein Analytics & Biophysics

Generate Biomedicines•Somerville, MA

6d•$210,000 - $300,000

About The Position

Generate:Biomedicines is seeking a scientifically bold, highly collaborative Senior Director to lead Protein Analytics & Biophysics within our Therapeutics division. This leader will set the vision for how Generate measures the biophysical, biochemical, and interaction properties of protein therapeutics across the design-build-test-learn cycle, from conventional analytical characterization through next-generation pooled, miniaturized, and nanoscale measurement platforms. We are looking for a field-leading biophysicist and platform builder who has not only operated best-in-class analytical and protein interaction workflows, but has also invented, scaled, or industrialized new ways to measure protein therapeutic attributes at orders-of-magnitude higher throughput and lower sample consumption. 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. 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. The ideal candidate brings deep technical breadth, a quantitative mindset, and a clear point of view on how pooled assays, DNA/barcode-enabled readouts, synthetic biology, automation, microfluidics, advanced detection, and computational modeling can transform how protein therapeutics are evaluated. Success in this role will require enterprise leadership: developing leaders and senior scientists, building an inclusive and high-accountability culture, partnering deeply across Protein Sciences, Prototyping, Technology, Data Sciences, Machine Learning, Biology, and CMC/Tech Ops, and translating an ambitious scientific vision into robust capabilities that improve decision quality, speed, and scale.

Requirements

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.
12+ years 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.
Significant 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.
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.
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.
Commitment to building an inclusive, collaborative, and high-accountability culture where people and science can thrive together.

Nice To Haves

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.

Responsibilities

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.
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.
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 Generate to measure protein attributes at scales that match the output of generative design.
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 strong 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 both 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 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.