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Posted 6 hours ago
QA Engineer, Scientific Workflows
MithrlQA Engineer, Scientific Workflows
Perks & benefits
CommissionHealth InsuranceMedical InsurancePaid Leave
Requirements
PhD in biology or computational field, Experience with omics data, Knowledge of drug discovery lifecycle, Proficiency in Python, Understanding of ML validation
Skills
PythonMachine LearningBioinformatics
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 new medicines reach patients faster.
Responsibilities
- Build automated test infrastructure for data ingestion, analysis modules, and discovery applications
- Develop scientific validation frameworks to check correctness and reproducibility of ML driven biological analyses
- Establish CI workflows to catch scientific and computational regressions
- Build monitoring and alerting systems for product module health and scientific integrity
- Design automated checks for omics workflows
- Validate that Mithrl responses align with biological logic and preclinical development expectations
- Work with ML engineers, data engineers, and application scientists to ensure accuracy
- Maintain documentation, data fixtures, and gold standard datasets for regression testing
Requirements
- PhD in biology, computational biology, bioinformatics, systems biology, or a related discovery field
- Deep understanding of the drug discovery and preclinical development lifecycle
- Hands-on experience with omics data (transcriptomics, RNA-seq, proteomics, ATAC-seq, single cell, etc.)
- Ability to evaluate scientific correctness of results and insights
- Familiarity with discovery analyses like differential expression, enrichment, and pathway reasoning
- Experience with Python or similar languages and scientific computing workflows
- Strong interest in software quality and validation of ML driven scientific systems
Preferred Qualifications
- Experience building automated tests or QA frameworks for scientific or ML systems
- Experience with workflow engines, scientific pipelines, or reproducibility tools
- Familiarity with CI tools and modern software development practices
- Experience validating outputs of AI powered analysis tools
- Previous work in a tech bio company or computational platform environment
Benefits
- Comprehensive PPO health coverage through Anthem (medical, dental, and vision)
- 401(k) with top-tier plans
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Mithrl · San Francisco
