LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
Lila Sciences is building the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method, enabling scientists to solve challenges in human health, climate, and sustainability at a pace and scale not previously possible.
What they're looking for
- Strong background in biological sciences, life sciences data, or bioinformatics
- Strong Python proficiency for scientific data analysis, including pandas, numpy, and scipy
- Solid grounding in applied statistics and exploratory data analysis
- Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders
- Ability to identify unstated assumptions and clarify ambiguous analytical requests
- Experience producing reproducible, well-documented analyses
More about this role
Lila Sciences is building the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method, enabling scientists to solve challenges in human health, climate, and sustainability at a pace and scale not previously possible.
At Lila, teams are deeply cross-functional and collaborative. We seek people with inclusive mindsets, diverse perspectives, and comfort working in creative, fast-moving environments. If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
We are seeking a Data Scientist, Life Sciences to join Life Sciences AI Data Science (LSAI-DS) and own the bridge between wet-lab science, software engineering, automation, and AI. This person will turn experimental data into actionable scientific insight, translate bench workflows into validated analytical requirements, and build reproducible analysis patterns that scale across life sciences programs.
This role is ideal for someone who combines life sciences depth, strong...
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