À propos
$150,000.00/yr - $240,000.00/yr ABOUT MITHRL
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the worlds first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent?ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are one of the fastest growing tech?bio companies in the Bay Area with 12x year-over-year revenue growth. Our platform is used across three continents by leading biotechs and big pharmas. We power breakthroughs from early target discovery to mechanism?of?action. And we are just getting started. ABOUT THE ROLE
We are hiring a QA Engineer, Scientific Software to build the test, validation, and monitoring infrastructure that guarantees the correctness and reliability of the Mithrl AI Co?Scientist. This role requires a PhD?level scientist or computational biologist who understands the drug development lifecycle and who has hands?on experience with omics data. Without this scientific foundation, it is not possible to evaluate whether Mithrls outputs are biologically meaningful. You will create automated tests for analysis workflows, ingestion pipelines, and discovery applications. You will build CI systems that catch regressions early, set up monitoring and alerting for system behavior, and ensure that every module in Mithrl produces scientifically valid and reproducible outputs. This role bridges scientific understanding with software quality engineering and is critical for maintaining trust in Mithrls analysis engine. If you are a scientist with a passion for product reliability, reproducibility, and validation of ML?powered scientific tools, this is a uniquely impactful position. WHAT YOU WILL DO 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
WHAT YOU BRING
Required Qualifications 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
Nice to Have 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
WHAT YOU WILL LOVE AT MITHRL
High ownership: You will be the guardian of scientific correctness and reliability inside the AI Co-Scientist Impact: You will work with cutting?edge ML, multimodal data, and real discovery workflows Team: Join a 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
Seniority level
Mid?Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development #J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
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