Lead ML Engineer, Discovery Applications

Mithrl; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k)

Job summary

Mithrl in San Francisco is seeking an ML Engineer, Discovery Applications to architect end-to-end scientific workflows that power biomarker discovery and target validation on the Mithrl platform. You will design multi-step workflows integrating ML models, domain logic, and data modalities to help scientists evaluate biomarkers, hits, and lead optimization, contributing to IND-enabling work.

Collaborate with ML engineers, bioinformatics, and data ingestion teams; work in a fast-paced startup

Qualifications

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

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.
• 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.

Skills

Machine learning

Computational biology

Scientific computing

Python

Workflow design

Job description

Mithrl in San Francisco is seeking an ML Engineer, Discovery Applications to architect end-to-end scientific workflows that power biomarker discovery and target validation on the Mithrl platform. You will design multi-step workflows integrating ML models, domain logic, and data modalities to help scientists evaluate biomarkers, hits, and lead optimization, contributing to IND-enabling work.

Collaborate with ML engineers, bioinformatics, and data ingestion teams; work in a fast-paced startup