LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
Lila is building a platform where AI and automation work together to solve the hardest problems in biomedicine. Within Life Sciences AI (LSAI), we are building the loop where AI, automation and experimental biology co-evolve.
What they're looking for
- PhD in Computational Biology, Bioinformatics, Computational Genomics, Biostatistics, Machine Learning, or a related quantitative field , with research centered on biological data
- Clear communication. Ability to explain methods, assumptions, results, and limitations to both technical and interdisciplinary audiences
More about this role
Lila is building a platform where AI and automation work together to solve the hardest problems in biomedicine. Within Life Sciences AI (LSAI), we are building the loop where AI, automation and experimental biology co-evolve.
We are seeking a Scientist II/ Senior Scientist, BioML to work at the intersection of mechanistic modeling and experimental design. Helping build the biological mechanism layer of that loop: reasoning systems that take a mechanistic hypothesis apart into what must be true for it to hold, judge what the existing evidence actually settles, and identify what remains open. You will encode what good mechanistic adjudications look like and build the evaluations that measure a system against them.
Then you will help close the loop: at Lila, when the evidence to ground or test a system does not exist, we generate it. You will design experimental campaigns that anchor these systems in real measurement, and own the analysis of the data that comes back. The core of this role is to decide what is worth measuring and closing that loop.
The ideal candidate brings strong hands-on experience in computational biology, BioML, or applied ML for biological data, and can partner...
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