3 часа назад
Computational Biologist (AI)
220 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Biologist (AI): Building and evaluating AI agent systems for biological discovery and clinical development with an accent on benchmark design, biological data analysis, and scientific validation. Focus on improving LLM agents in real-world research environments, identifying failure modes in AI-generated findings, and applying agentic AI to complex drug discovery tasks.
Location: Remote available in the U.S. only; New York or San Francisco. The role includes on-site engagement with client scientists and research leaders.
Salary: $220,000–$300,000 per year plus equity
Company
Scientific builds and deploys AI scientist agents to accelerate scientific discovery and the development of new medicines.
What you will do
- Build and evaluate AI agent systems for biological discovery and clinical development.
- Design benchmarks, acceptance criteria, and failure-mode analyses for LLM agents performing complex scientific tasks.
- Partner with scientists and research leaders to apply AI agents to biological research and generate novel findings.
- Assess AI-generated results for biological validity and identify findings that warrant further investigation.
- Improve agent performance in customer data infrastructures and real-world scientific workflows.
- Support engagement scoping, success metrics, pre-sales technical evaluations, scientific playbooks, and publications.
Requirements
- PhD in biological science or equivalent demonstrated professional experience.
- Experience with regulatory and compliance requirements in pharmaceutical or biotech research.
- First-author publication involving complex biological data such as sc-omics, high-throughput screening, proteomics, lipidomics, human genetics, imaging, or protein structures.
- Deep expertise in one area of mammalian biology and the ability to develop fluency in adjacent domains.
- Hands-on experience with LLM and agentic AI tools in biological research.
- Strong critical thinking and scientific communication skills, including evaluation of LLM-generated analyses.
Nice to have
- Strong Python and/or TypeScript/JavaScript fundamentals.
- Rapid prototyping and independent execution in high-stakes environments.
- Experimental design experience, including the ability to run experiments directly or through a CRO.
- Industry or client-facing research experience outside academia.
Culture & Benefits
- Fast-moving, mission-driven environment with high scientific independence.
- Full healthcare coverage for employees and dependents.
- Paid parental leave, fertility coverage, and mental health support.
- 401(k) matching, commuter benefits, and quarterly health and wellness support.
- Daily office lunch, late-work dinner coverage, team off-sites, and company events.
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