7 часов назад
Scientist II, Display Technologies (Protein Engineering)
124 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Scientist II, Display Technologies (Protein Engineering): Designing and executing phage display campaigns to discover and characterize antibodies against soluble and membrane-protein targets with an accent on library construction, selection strategy, and rigorous hit validation. Focus on troubleshooting difficult targets, adapting affinity assays to higher-throughput formats, and generating high-quality datasets for AI antibody design.
Location: South San Francisco, California, United States
Salary: $124,000–$155,000 annually, plus bonus and equity
Company
is a biotech startup using generative AI and foundation models for biology to transform drug discovery and develop protein and antibody therapeutics.
What you will do
- Design, execute, and own phage display campaigns from library construction through panning and hit validation.
- Develop selection strategies for soluble antigens and difficult membrane-protein targets, including GPCRs.
- Build diverse display libraries using cloning, mutagenesis, and molecular assembly.
- Run affinity and functional characterization using flow cytometry, ELISA, SPR, and related assays.
- Partner with computational and ML colleagues to generate, structure, and quality-control datasets for model training and evaluation.
- Mentor associate scientists and contribute to technical standards, reports, presentations, and method documentation.
Requirements
- PhD in Molecular Biology, Biochemistry, Immunology, Protein Engineering, or a related field, plus 2–4 years of relevant industry experience.
- Significant hands-on experience with antibody or protein discovery by phage display, including library design, panning, selection, and hit validation.
- Strong molecular biology skills in cloning, mutagenesis, and library assembly.
- Hands-on flow cytometry (FACS) experience is required, including data interpretation and gating strategies.
- Experience independently running campaigns and troubleshooting challenging targets; membrane-protein experience is strongly preferred.
- Knowledge of antibody characterization assays, mammalian cell culture, experimental design, documentation, and scientific communication.
Nice to have
- Experience with SPR, BLI/Octet, alternative display formats, or lab automation.
- Working knowledge of Python or R for large-dataset analysis.
Culture & Benefits
- Collaborative, multidisciplinary environment focused on advancing AI-enabled drug discovery.
- Open, flexible, and friendly work environment.
- Competitive benefits package with base salary, bonus, and equity.
- Opportunities for mentoring, knowledge-sharing, and long-term career development.
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