Twist Bioscience · 10 hours ago
Computational Scientist
San Francisco Bay Area
Full-time
Hybrid
Senior Level, Lead/Staff
$173K/yr - $200K/yr
4+ years expTwist Bioscience is a company that synthesizes genes from scratch, aiming to revolutionize genomics. They are seeking a Staff Computational Scientist to build computational systems and workflows for antibody programs, collaborating with scientists and engineers to deliver robust solutions.
B2BBiotechnologyChemicalHealth CareLife Science
Hiring Manager
Laila King
Responsibilities
Build and own antibody sequence intake and screening workflows that evaluate sequence integrity, format expectations, and manufacturability risks, producing clear, explainable outputs with traceable evidence
Develop antibody-aware annotation and feature extraction that supports common antibody modalities and engineered formats, including multi-chain constructs
Create configurable validation and reporting logic that balances scientific rigor with customer flexibility
Build robust pipelines that convert raw experimental exports and metadata into structured, versioned, analysis-ready datasets
Implement quantitative analysis and analysis logic for high-throughput characterization data
Partner with assay scientists and QC stakeholders to define controls, acceptance criteria, and failure modes, then translate them into automated checks and consistent reporting
Experience developing and applying AI/ML models for antibody/protein sequences and experimental assay data (for example developability prediction, QC triage, or sequence-to-property modeling) is a strong plus
Collaborate with Data Science/ML teammates on dataset creation, feature engineering, baselines, benchmarking, and model integration
Apply statistical learning or lightweight ML methods where they provide clear value (for example anomaly detection, drift detection, QC triage, prioritization, risk scoring), emphasizing reliability, interpretability, and measurable impact
Build maintainable scientific software in Python and contribute to good engineering hygiene (version control, testing, documentation, reproducibility, and robust error handling)
Qualification
Required
MS with 8–12 years of industry experience, or PhD with 4–8+ years of industry experience (or equivalent) in Computational Biology, Bioinformatics, Biophysics, Immunology, Protein Engineering, Machine Learning, Computer Science, or a related field
Strong grounding in antibody science and engineering concepts, with the ability to reason about antibody sequence, format constraints, and developability considerations
Strong Python programming skills (pandas, numpy, scipy) and a track record of shipping tools that automate scientific workflows
Experience working with experimental datasets, applying quantitative methods, and building QC frameworks that produce reliable, consistent outputs
Comfort collaborating cross-functionally with wet-lab and engineering teams, and ability to translate scientific intent into pragmatic, usable software
Preferred
Experience with engineered antibody formats (for example bispecific or multi-specific constructs) and challenges around representation, pairing, and assessment
Applied ML experience, such as feature engineering, evaluation, baselines, model development, or integrating models into production workflows using scikit-learn and/or PyTorch/TensorFlow
Experience interfacing with lab systems and data sources (for example LIMS, lab automation, instrument data exports)
Familiarity with containers and cloud tooling (for example Docker and AWS/GCP)
Company
Twist Bioscience
Twist Bioscience is a biotechnology company that offers synthetic DNA solutions, gene synthesis, and variant libraries.
501-1000 employees
H1B Sponsorship
Twist Bioscience has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (14)
2023 (22)
2022 (19)
2021 (4)
2020 (6)
Funding
Current Stage
Public CompanyTotal Funding
$553.11MKey Investors
Capital World InvestorsBiomatics Capital PartnersIllumina
2022-02-09Post Ipo Equity· $250M
2020-01-27Post Ipo Equity· $50M
2018-10-30IPO
Leadership Team
Emily Leproust
CEO
Siyuan Chen
Chief Technology Officer
Recent News
2026-01-16
Company data provided by crunchbase