Mithrl · 2 weeks ago
ML Engineer, Biological Analysis & Simulation
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$150K/yr - $200K/yrMithrl is building the world’s first commercially available AI Co-Scientist, transforming messy biological data into insights. The ML Engineer will develop core analytical layers for the AI, focusing on interpreting biological datasets and integrating simulation tools for drug discovery.
Artificial Intelligence (AI)Data Center AutomationLife ScienceMedicalSoftware
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
Collaborate with the data engineering, bioinformatics, and curation teams to ensure analysis modules operate on clean and consistent data
Validate results, benchmark pipelines, and ensure scientific accuracy and reproducibility of all analyses
Contribute to the long term architecture for how the AI Co-Scientist performs reasoning, hypothesis testing, and simulation
Qualification
Required
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
Experience designing multi step reasoning or workflow based ML pipelines
Ability to translate messy scientific questions into structured ML or analytical workflows
Strong communication skills and comfort collaborating with cross functional scientific and engineering teams
Preferred
Experience with LLM powered scientific agents or multi agent architectures
Familiarity with phenotype based discovery, multi modal integration, or systems biology
Background in computational chemistry or structure based drug discovery
Experience with biological ontologies, curated knowledge graphs, or pathway databases
Prior experience in a tech bio company, biotech R&D group, or scientific platform team
Benefits
Comprehensive PPO health coverage through Anthem (medical, dental, and vision)
401(k) with top-tier plans
Company
Mithrl
Mithrl is a software development company that builds the custom workflows for NGS data on-demand.
Founded in 2023
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$4MKey Investors
Bonfire Ventures
2024-11-14Seed· $4M
Leadership Team
Shara Balakrishnan, Ph.D.
Chief Technology Officer
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