ML Engineer, Biological Analysis & Simulation at Mithrl - ScoutJobs - The AI-curated global job board
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Posted 6 hours ago

ML Engineer, Biological Analysis & Simulation

MithrlML Engineer, Biological Analysis & Simulation

Perks & benefits

CommissionHealth InsurancePaid Leave

Requirements

Machine learning experience, Computational biology experience, Python proficiency, Scientific computing libraries, Computational chemistry tools

Skills

PythonMachine Learning

About the role

About the Company

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes, helping scientists generate novel targets, hypotheses, and patent-ready reports.

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, and clustering
  • Build multi step workflows that combine ML models, statistical logic, and biological knowledge
  • Design and implement agentic reasoning strategies to synthesize outputs into scientific narratives
  • Integrate simulation and modeling tools for small molecule drug discovery, such as ADMET prediction and docking scoring
  • Collaborate with data engineering and bioinformatics teams to ensure data consistency
  • Validate results and ensure scientific accuracy and reproducibility

Requirements

  • Strong experience in machine learning, computational biology, or scientific ML
  • Experience developing analysis modules for biological or scientific datasets
  • Familiarity with target discovery, gene expression analysis, or statistical modeling
  • Hands-on experience with computational chemistry or simulation tools (ADMET, docking, molecular generative models)
  • Proficiency in Python and scientific computing libraries
  • Experience designing multi step reasoning or workflow based ML pipelines
  • Ability to translate scientific questions into structured analytical workflows

Preferred Qualifications

  • Experience with LLM powered scientific agents or multi agent architectures
  • Familiarity with phenotype based discovery or systems biology
  • Background in computational chemistry or structure based drug discovery
  • Experience with biological ontologies or curated knowledge graphs
  • Prior experience in a tech bio company or biotech R&D group

Benefits

  • Comprehensive PPO health coverage through Anthem (medical, dental, and vision)
  • 401(k) with top-tier plans
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ML Engineer, Biological Analysis & Simulation

Mithrl · San Francisco

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