Mithrl · 7 hours ago
QA Engineer, Scientific Workflows
San Francisco, CA
Full-time
Onsite
Mid Level
$150K/yr - $200K/yrMithrl is a company focused on revolutionizing drug development through AI technology. They are seeking a QA Engineer to build the test, validation, and monitoring infrastructure for their AI Co-Scientist, ensuring the reliability and scientific correctness of the outputs.
Artificial Intelligence (AI)Data Center AutomationLife ScienceMedicalSoftware
Responsibilities
Build automated test infrastructure for data ingestion, analysis modules, discovery applications, and new product features
Develop scientific validation frameworks that check correctness and reproducibility of ML driven biological analyses
Establish CI workflows that run end to end tests on every commit and catch scientific and computational regressions
Build monitoring and alerting systems that track the health, performance, and scientific integrity of product modules
Design automated checks for omics workflows
Validate that responses generated by Mithrl align with biological logic and expectations from discovery and preclinical development
Work closely with ML engineers, data engineers, and application scientists to ensure scientific accuracy across releases
Maintain documentation, data fixtures, and gold standard datasets for regression testing
Support the development of QA processes that scale with rapid product growth and new analysis capabilities
Build a culture of scientific correctness and software reliability throughout the engineering and product teams
Qualification
Required
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 working with omics data such as transcriptomics, RNA-seq, proteomics, ATAC-seq, single cell datasets, or imaging-derived features
Ability to evaluate whether a result, analysis, or insight is scientifically correct based on domain knowledge
Familiarity with common discovery analyses such as differential expression, enrichment, pathway reasoning, target scoring, and feature importance
Experience with Python or similar languages and comfort with scientific computing workflows
Strong interest in software quality, reproducibility, and validation of ML driven scientific systems
Excellent communication skills and ability to partner with engineers and scientists
Preferred
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
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