We build models of life beyond human understanding. Our models extrapolate from data to design breakthrough medicines for humanity’s most challenging diseases. Backed by a16z.
About the role
At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team.
What they're looking for
- PhD in computational biology, statistics, physics, machine learning, or a related quantitative discipline, or equivalent practical experience, with record of publications or open source tooling in these fields
- Strong quantitative reasoning and statistical intuition
- Demonstrated ability to identify important scientific questions, design rigorous investigations, and draw reliable conclusions from complex biological data
- Experience analyzing high throughput sequencing data (e.g. RNA-seq, functional genomics / transcriptomics, MPRA), with a focus on robust statistical analysis
- Experience collaborating closely with AI/machine learning researchers or applying machine learning or generative AI tools to scientific problems
- Familiarity with current AI/machine learning methods, including generative foundation models, representation learning, and model evaluation
More about this role
At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team.
We advance the state of the art in molecular design by training large-scale foundation models that enable cutting-edge generative approaches. Those models learn from diverse biological datasets and are refined through focused experimentation, large-scale training, and feedback from lab measurements. Progress depends not only on building better models, but also on understanding what they learn, where they fail, how data shapes their behavior, and how to evaluate them against biologically meaningful objectives.
You will collaborate closely with AI researchers and biologists to rigorously characterize the behavior, capabilities, and limitations of biological foundation models and their applications. You will identify valuable datasets, develop meaningful evaluations, investigate model behavior, and generate insights that guide model development, data strategy, and experimental priorities across the company.
- Embody our vision of an antedisciplinary environment and embrace learning about areas...
Browse similar: Startup jobs · San Francisco Bay Area