Startups · AI

Senior/Principal ML Scientist, Translational Biology

Lila Sciences · San Francisco, CA USA · On-site

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About Lila Sciences

LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.

About the role

Lila is redefining the future of biomedicine by combining large-scale automated data generation with scientific superintelligence. We are building the loop where AI, automation, and experimental biology co-evolve. We are seeking a Senior ML Scientist to connect that work to human medicine, building the systems that assess whether a clinical program's biology holds up.

What they're looking for

  • Mechanistic reasoning about therapeutic interventions. Able to state how an intervention is meant to work, what evidence would establish each step, and where human evidence supports or undercuts it
  • Clinical development fluency. Working knowledge of trial design, endpoints, biomarker strategy, eligibility and enrichment — enough to read a protocol and judge whether it tests the mechanism it claims to
More about this role

Lila is redefining the future of biomedicine by combining large-scale automated data generation with scientific superintelligence. We are building the loop where AI, automation, and experimental biology co-evolve.

We are seeking a Senior ML Scientist to connect that work to human medicine, building the systems that assess whether a clinical program's biology holds up.

Three questions define the work. Is the mechanism well supported? What has actually been established about how this intervention is meant to work, and what has only been assumed. Does the mechanism operate in patients? Human genetics, expression, cohort and prior-trial evidence all bear on whether the biology that works in a model system is present, and rate-limiting, in the population being treated. Is the trial built for that mechanism? Endpoints that read out the right thing on the right timescale, biomarkers that measure what the mechanism actually does, and enrollment criteria that select patients in whom it is operative — or, very often, none of these.

You will not answer these program by program yourself. You will build the systems that do it, drawing on the mechanistic models and structured biological...

Read the full posting on Lila Sciences's site ↗

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