Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Generate Biomedicines INC paid sponsored hires in similar roles2 certified filings for “Senior Scientist I, Computational Biology” (Biochemists and Biophysicists) in MA: $125k–$175k, median $150k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 2 certified filings for “Senior Scientist I, Computational Biology” (Biochemists and Biophysicists) in MA: $125k–$175k, median $150k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
The Role:
The Functional Bioassays team is seeking a Scientist II to develop, optimize, and execute functional assays across Generate’s therapeutic portfolio. This bench-focused role will generate high-quality data to guide protein design and program decisions, including AI/ML-enabled design cycles.
The scientist will design, optimize, and troubleshoot biochemical and cell-based assays; execute high-throughput screening campaigns; analyze results; and support automation integration across programs. Work may include ion-channel, GPCR, ADC-related, and other functional assay platforms as portfolio needs evolve.
Approximately 80–90% of this role will be laboratory-based. The scientist will collaborate with colleagues across Therapeutics, Technology, and cross-functional program teams to deliver well-controlled data for iterative design-build-test-learn cycles.
This role is suited to a hands-on scientist with experience in functional assay development and high-throughput screening who can take ownership of experiments, communicate results clearly, and adapt to changing program needs.
Here's how you will contribute:
· Design, optimize, and implement high-throughput screening-compatible cell-based and biochemical assays, integrating automation where appropriate.
· Plan and execute plate-based high-throughput screening campaigns, analyze results, and interpret experimental datasets.
· Communicate findings to program teams to inform AI/ML-enabled design cycles, program decisions, and therapeutic optimization.
· Support high-throughput functional assay work across multiple therapeutic programs, with potential focus areas including ion channels, GPCRs, and ADC-related assays.
· Apply and expand expertise in novel functional assay technologies, including ion-channel and GPCR assays, as program needs evolve.
· Conduct experiments with attention to detail, scientific rigor, and adherence to established protocols.
· Troubleshoot assay performance, instrumentation, reagents, and workflows in partnership with senior scientists and Automation colleagues.
· Maintain accurate, timely, and well-organized records in electronic laboratory notebooks and other data systems.
· Prepare clear summaries of results for team discussions, program updates, and cross-functional meetings.
· Coordinate experiments with colleagues across Functional Bioassays, Automation, Biology, Protein Sciences, Data Science, and program teams.
· Follow laboratory safety practices, sample-handling requirements, data-integrity expectations, and Generate’s scientific standards.
The Ideal Candidate will have:
· PhD in cell biology, pharmacology, immunology, biochemistry, bioengineering, molecular biology, or a related discipline, with approximately 2+ years of industry or postdoctoral experience; or MS with approximately 5+ years of relevant industry or academic research experience; or BS with approximately 7+ years of relevant industry or academic research experience.
· Hands-on experience with cell-based, biochemical, and functional assays in an academic, biotech, pharmaceutical, or related research setting.
· Strong technical foundation in mammalian cell culture and plate-based assay workflows.
· Experience with plate-based assay technologies such as ELISA, HTRF, AlphaLISA, luminescence or fluorescence assays, flow cytometry, or similar methods.
· Experience designing, optimizing, and executing high-throughput screening in 384- or 1536-well formats for small molecules, biologics, or both, with appropriate controls and replicates, sound data quality, and clear documentation.
· Ability to recognize assay-performance or data-quality issues, investigate likely causes, and contribute to troubleshooting.
· Ability to work effectively in a fast-paced, matrixed res
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