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About the role
What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way. Are you a highly motivated and detail-oriented computational biologist passionate about understanding complex biological systems and disease through single-cell omics and large-scale patient datasets ? This role offers a unique opportunity to contribute to the development and application of Cellarity's platform for drug discovery.
What they're looking for
- 3+ years of relevant industry experience
- Extensive experience in analyzing and deriving hypotheses from single-cell and bulk transcriptomic data, preferably also with large-scale single-cell atlases
- Demonstrated understanding of molecular and systems biology, diverse molecular data types, and analysis tools. Proven ability to bridge wet lab and computational efforts and collaborate effectively across functions
- Practical programming and scripting skills, preferably in Python
- Fluency with AI tools to accelerate daily scientific work (incl. coding assistants, LLMs, and agentic workflows), while maintaining high scientific rigor over the outputs
- Fast learner, analytical thinker, independent, "hands-on", strong communication skills
More about this role
What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way.
Are you a highly motivated and detail-oriented computational biologist passionate about understanding complex biological systems and disease through single-cell omics and large-scale patient datasets ? This role offers a unique opportunity to contribute to the development and application of Cellarity's platform for drug discovery.
You will be part of a small and dynamic computational team focused on generating high-impact insights. As the computational biology lead embedded in our cross-functional drug discovery programs, you will collaborate closely with world-class computational biologists, machine learning scientists, experimental biologists, chemists, clinicians , and technologists to co-develop hypotheses from cell atlases and advance programs from biological model development through hit identification and lead optimization. Specifically, you will identify disease-associated states in cell atlases, guide development of the in vitro and in vivo systems that model them, use our single-cell AI models to...
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