ML Engineer, Biological Analysis & Simulation
MithrlGenomic Data company
San Francisco, United StatesMid
Headline
Bonfire Ventures
Jenny Fielding
Scott Hartley
Agi House
Obvious Ventures
Data & AI
About the role
TL;DR
Develop AI-driven analysis agents for biological data interpretation.
- •We are hiring an ML Engineer, Analysis and Simulation to build the core analytical and reasoning layer behind the Mithrl AI Co-Scientist.
- •Key Responsibilities Build AI driven analysis agents that perform biological reasoning across a wide range of datasets Develop the standard analysis suite for each dataset, including modules for differential expression, pathway analysis, feature importance, clustering, scoring, enrichment, and mechanism-of-action interpretation Build multi step workflows that combine ML models, statistical logic, and biological knowledge to produce high confidence insights Design and implement agentic reasoning strategies that allow Mithrl to run dozens analyses per dataset and synthesize the outputs into a coherent scientific narrative Integrate simulation and modeling tools for small molecule drug discovery, including ADMET prediction, docking scoring, generative chemistry tools, structure based modeling, and related computational frameworks Requirements Strong experience in machine learning, computational biology, or a related scientific ML field Experience developing analysis modules for biological or scientific datasets Familiarity with common techniques in target discovery, gene expression analysis, pathway inference, clustering, or statistical modeling Hands-on experience with computational chemistry or simulation tools, such as ADMET models, docking, binding prediction, or molecular generative models Proficiency in Python and scientific computing libraries
Required skills
PythonPandasNumPyscikit-learnTensorFlow
Nice-to-have skills
PyTorch
Domain expertise
biotech
Benefits & perks
Comprehensive PPO health coverage, 401(k) with top-tier plans
Tech stack
PythonPandasNumPyscikit-learnTensorFlowPyTorch