Jobs / United States / Twist Bioscience Corporation
Senior Computational Scientist
Twist Bioscience Corporation · 🇺🇸 USA - South San Francisco, CA
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 11 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 9 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 Twist Bioscience Corporation paid sponsored hires in similar roles1 certified filing for “Scientist, Upstream Antibody Discovery” (Molecular and Cellular Biologists) in MA: $113k–$113k, median $113k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Twist Bioscience Corporation
The US Department of Labor certified 11 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 9 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 Twist Bioscience Corporation →
About the role
Senior Computational Scientist, AI for Protein Design and Discovery About the role Twist is seeking a Senior or Staff Computational Scientist to develop AI and computational solutions for protein design, discovery, and characterization. You will work across computational biology, machine learning, and experimental science, collaborating with research scientists, software engineers, and customer-facing teams. Your work will help Twist and its customers design and evaluate protein sequences, interpret NGS and experimental data, and select candidates for advancement. This is a hands-on, impact-driven role requiring substantial experience developing new algorithms. A strong understanding of protein language models (PLMs) and their use in biological sequence design is required. Experience with antibody discovery or engineering is highly preferred but not required. Candidates with relevant experience in other therapeutic proteins are encouraged to apply. What you’ll do • Develop algorithms that integrate protein sequences with NGS and experimental data to derive insights that inform subsequent experiments and design cycles. • Identify high-impact opportunities for new algorithms and AI-enabled capabilities, lead their development from concept through experimental validation, and translate successful approaches into reusable tools for research programs. • Develop AI/ML methods for designing, evaluating, and optimizing therapeutic protein sequences. • Apply protein language models (PLMs) and related approaches to sequence generation, property prediction, and candidate prioritization. • Partner with software and bioinformatics teams to integrate models and analytical workflows into scalable research systems. • Lead computational analyses for protein discovery programs, including sequence selection, clone prioritization, and characterization. • Collaborate across computational, experimental, engineering, and customer-facing teams to translate scientific needs into practical solutions. • Move flexibly between research, software development, analysis, and troubleshooting as program priorities evolve. What you’ll bring to the team • Minimum of 5 years of industry experience with a PhD. • PhD in computational biology, bioinformatics, machine learning, computer science, protein science, or a related field. • Extensive experience developing algorithms for protein design, engineering, discovery, or sequence analysis. • Demonstrated experience developing and applying AI/ML methods to proteins or other biological sequences. • Strong understanding of protein language models (PLMs) and protein sequence-structure-function relationships. • Experience analyzing NGS data from biological selection, screening, or related workflows. • Strong scientific programming skills (Python) and experience with modern machine-learning frameworks (PyTorch, TensorFlow). • A record of translating ambiguous scientific questions into validated computational methods and actionable results. • Strong cross-functional communication skills, scientific judgment, and a focus on practical impact. • Ability to communicate complex computational concepts to experimentalists and stakeholders. Preferred qualifications • Experience with antibody discovery, engineering, or characterization is highly preferred but not required. • Experience with biopanning, display-based discovery, or other protein-selection platforms. • Experience integrating protein sequence, NGS, and experimental assay data. • Experience with generative protein design, property prediction, or candidate-ranking methods. About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development