Mithrl · 10 hours ago
ML Engineer, Discovery Applications
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 quickly. The ML Engineer, Discovery Applications will develop high-level scientific workflows that facilitate decision-making in the drug discovery process, focusing on applications that support biomarker identification and target validation.
Artificial Intelligence (AI)Data Center AutomationLife ScienceMedicalSoftware
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
Qualification
Required
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
Preferred
Experience building LLM powered agents or multi agent reasoning systems
Experience with multi modal biological data integration
Experience with computational chemistry tools such as docking or ADMET modeling
Familiarity with biological ontologies, curated knowledge sources, or pathway databases
Prior experience in a tech bio startup, biotech R&D group, or scientific software platform
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
Company data provided by crunchbase