Senior/Principal ML Scientist, Translational Biology

Your Impact at LILA

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 evidence the rest of the group generates, and grounding them in human data. Your own judgment is the specification and the standard those systems are held to, and you wil