Leading data-driven lab for AI medicines
Inceptive · Palo Alto, CA · Palo Alto
CHECKED 8H AGO
Bio & Science AIonsitesenior$221k–$305k
At a glance
Highlights
- Pioneer next-generation AI-designed drugs with potential to impact billions.
- Scale high-throughput assays across in vitro, cellular and in vivo systems.
- Shape lab strategy to align AI foundation models with therapeutic goals.
What they offer
- 30 days paid vacation per year
- Comprehensive health insurance for US based employees
- 401K with company match for US based employees
- Quarterly company-wide retreats
- Monthly wellness benefit
- Budget for multiple visits per year to offices in Berlin, Palo Alto or Switzerland
- Learning & Development budget for conferences, courses and professional growth
Ideal candidate
A collaborative scientific leader who thrives mentoring teams and bridging biology with AI. You care about rigorous, data-driven discovery and translating models into real medicines in a fast-paced lab.
Requirements
- PhD and 6+ years of post-PhD experience in industrial research applied to drug development
- Experience managing and mentoring a data-driven lab of 10+ scientists
- Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells
- Proven ability to set scientific direction while also executing operationally
- Deep understanding of theory, techniques, and experimental design in molecular and cellular biology
- Visualization, analysis, and statistics applied to complex biological datasets
- Availability to work with team members across US and Europe, with meetings starting at 7am PT
- Readiness to travel several times a year for company retreats and business events
Lab profile
About Inceptive
Building foundation models of life to enable AI-designed medicines.
What they build
- Foundation models for biomolecules
- Biological software for medicine design
- AI-designed therapeutics
Known for
- Large-scale generative biomolecule design
- High-throughput experimental data generation
- Tight model-lab feedback loop
- Antedisciplinary collaborative team