Jobs / United States / Generate Biomedicines INC
Senior Director, Protein Analytics & Biophysics
Generate Biomedicines INC · 🇺🇸 Somerville, MA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Generate Biomedicines INC paid sponsored hires in similar roles1 certified filing for “Associate Director, Statistical Programming” (Data Scientists) in CA: $195k–$195k, median $195k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Generate Biomedicines INC
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Generate Biomedicines INC →
About the role
The Role: 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. Here's how you will contribute: • 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