Mithrl is building the world's first commercially available AI Co-Scientist to accelerate new medicine discovery by transforming biological data into insights rapidly, enabling scientists to ask questions in natural language and receive analysis, novel targets, hypotheses, and patent-ready reports.
Requirements
- Strong experience in ML, computational biology, scientific computing, or a related field
- Deep understanding of the drug discovery and preclinical development cycle including early discovery, target identification, target validation, hit identification, hit to lead, lead optimization, and IND-enabling work
- Experience building analytical workflows or application logic for biological or scientific data
- Familiarity with key discovery analysis methods such as differential expression, pathway analysis, clustering, enrichment, and target scoring
- Proficiency in Python and scientific computing libraries and comfort with building multi step workflows
- Ability to convert scientific questions into structured, reproducible workflows that support real decision making
- Experience building LLM powered agents or multi agent reasoning systems
Responsibilities
- Build full discovery applications that support biomarker identification, target discovery, target validation, small molecule design workflows, and gene therapy programs
- Stand up new analyses that support application logic and improve or extend the existing analysis suite
- Create multi step reasoning flows that integrate ML models, statistical methods, pathway context, simulation tools, and biological domain logic
- Design application specific workflows for compound evaluation, program prioritization, and multi modal evidence integration
- Extend existing applications to incorporate new data modalities and new analysis routines
- Build reusable frameworks for Design of Experiments across biomarker discovery, target ID, validation, small molecule programs, and gene therapy
- Implement and improve the AI systems that orchestrate and chain analyses into coherent applications used directly by scientists
Other
- Strong communication skills and ability to collaborate with cross functional engineering and biology teams
- High ownership and impact: You will build the decision making applications that scientists rely on throughout the discovery and preclinical process
- Join a tight-knit, talent-dense team of engineers, scientists, and builders
- We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
- Beautiful SF office with a high-energy, in-person culture
