Computational design of biological experiments for model development
Inceptive · Berlin, Germany or Palo Alto, CA or Zurich, Switzerland · Berlin · Palo Alto · Zurich
CHECKED 7H AGO
Bio & Science AIonsitesenior
At a glance
Highlights
- Pioneer next-generation AI-designed drugs impacting billions of people.
- Train large-scale foundation models for generative molecular design.
- Design biologically meaningful evaluations for therapeutic objectives.
What they offer
- Quarterly company-wide retreats
- Monthly wellness benefit
- Learning & Development budget for conferences and courses
- Budget for visits to Berlin, Palo Alto or Switzerland offices
Ideal candidate
Quantitative scientist with PhD mindset who thrives at the AI-biology interface. Curious, collaborative beginner's-mind thinker eager to probe foundation models and turn biological questions into rigorous experiments.
Requirements
- PhD in computational biology, statistics, physics, machine learning or related field
- Strong quantitative reasoning and statistical intuition
- Experience analyzing high-throughput sequencing data e.g. RNA-seq, MPRA
- Experience collaborating with AI/ML researchers or applying ML to science
- Familiarity with generative foundation models and model evaluation
- Proficient in Python and scientific computing libraries
- Excellent communication across diverse technical backgrounds
- Available across US and Europe hours from 8am PT to 7pm CET
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