ML Engineer, Discovery Applications

About the role

We are hiring an ML Engineer, Discovery Applications to build the high level, end-to-end scientific workflows that power real bench to bench decision making inside the Mithrl platform. This role focuses on building the application layer on top of the AI Co-Scientist.

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
• Implement and improve the AI systems that orchestrate and chain analyses into coherent applications used directly by scientists
• Collaborate closely with ML engineers, bioinformatics teams, and data ingestion teams to ensure workflows run on consistent data
• Validate scientific correctness and ensure applications produce accurate, reproducible, and interpretable results

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
• Strong communication skills and ability to collaborate with cross functional engineering and biology teams

Qualifications

• Required Qualifications
• Nice to Have

What You Bring

• Required Qualifications
• Nice to Have

What You Will Love

• High ownership and impact: You will build the decision making applications that scientists rely on throughout the discovery and preclinical process
• Tight-knit, talent-dense team of engineers, scientists, and builders
• Tight-knit, talent-dense team of engineers, scientists, and builders
• Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
• Speed: We ship fast (2x/week) and improve continuously based on real user feedback
• Location: Beautiful SF office with a high-energy, in-person culture
• Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

Compensation Range

$150K - $200K