7 часов назад
Computational Biologist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Biologist (AI): Managing the active learning loop between biological reasoning models and experimental validation with an accent on protein biology and model iteration. Focus on designing experiments, managing CROs, and translating biological requirements into data and modeling priorities.
Location: Onsite at New York HQ
Company
is a stealth biotech startup building a biological reasoning model to discover and generate novel drug treatments.
What you will do
- Own the active learning cycle by designing experiments and managing CRO partners for synthesis and testing.
- Translate nuanced biological requirements into priorities for data construction, modeling, and evaluation.
- Collaborate with engineering to build biology-specific agent skills and automated experimental decision-making workflows.
- Identify biological phenomena for model sensitivity and ensure experimental findings shape model learning.
- Stay current with biological literature to identify new problems and opportunities for model development.
Requirements
- PhD in computational biology, biophysics, structural biology, molecular biology, or a related field.
- 3+ years of post-doctoral or industry research experience.
- Deep understanding of protein biology, protein-ligand interactions, and structure-function relationships.
- Experience with protein language models or machine learning applied to biological sequences.
- Strong programming skills in Python for building computational pipelines and analysis tools.
- Must be based in or able to work from New York.
Nice to have
- Structural biology expertise including protein structure analysis.
- Experience with active learning or iterative experimental design in drug discovery.
- Hands-on wet lab experience.
- Experience across multiple therapeutic modalities, including peptides.
- Ability to write code that automates biological analysis workflows.
Culture & Benefits
- Competitive salary and equity in a well-funded startup.
- Excellent medical, dental, and vision coverage.
- Culture of ownership, excellence, and direct honesty.
- Results-oriented environment with flexible day-to-day management focused on milestones.
- Supportive leadership providing regular constructive feedback.
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