ABOUT MITHRLWe 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 world's 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.Our traction speaks for itself:12X year-over-year revenue growthTrusted by leading biotechs and big pharma across three continentsDriving real breakthroughs from target discovery to patient outcomes.ABOUT THE ROLEWe 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 Mithrl's 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 Mithrl's 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 DOBuild automated test infrastructure for data ingestion, analysis modules, discovery applications, and new product featuresDevelop scientific validation frameworks that check correctness and reproducibility of ML driven biological analysesEstablish CI workflows that run end to end tests on every commit and catch scientific and computational regressionsBuild monitoring and alerting systems that track the health, performance, and scientific integrity of product modulesDesign automated checks for omics workflowsValidate that responses generated by Mithrl align with biological logic and expectations from discovery and preclinical developmentWork closely with ML engineers, data engineers, and application scientists to ensure scientific accuracy across releasesMaintain documentation, data fixtures, and gold standard datasets for regression testingSupport the development of QA processes that scale with rapid product growth and new analysis capabilitiesBuild a culture of scientific correctness and software reliability throughout the engineering and product teamsWHAT YOU BRINGRequired QualificationsPhD in biology, computational biology, bioinformatics, systems biology, or a related discovery fieldDeep understanding of the drug discovery and preclinical development lifecycleHands-on experience working with omics data such as transcriptomics, RNA-seq, proteomics, ATAC-seq, single cell datasets, or imaging-derived featuresAbility to evaluate whether a result, analysis, or insight is scientifically correct based on domain knowledgeFamiliarity with common discovery analyses such as differential expression, enrichment, pathway reasoning, target scoring, and feature importanceExperience with Python or similar languages and comfort with scientific computing workflowsStrong interest in software quality, reproducibility, and validation of ML driven scientific systemsExcellent communication skills and ability to partner with engineers and scientistsNice to HaveExperience building automated tests or QA frameworks for scientific or ML systemsExperience with workflow engines, scientific pipelines, or reproducibility toolsFamiliarity with CI tools and modern software development practicesExperience validating outputs of AI powered analysis toolsPrevious work in a tech bio company or computational platform environmentWHAT YOU WILL LOVE AT MITHRLHigh ownership: You will be the guardian of scientific correctness and reliability inside the AI Co-ScientistImpact: You will work with cutting edge ML, multi modal data, and real discovery workflowsTeam: Join a tight-knit, talent-dense team of engineers, scientists, and buildersCulture: We value consistency, clarity, and hard work. We solve hard problems through focused daily executionSpeed: We ship fast (2x/week) and improve continuously based on real user feedbackLocation: Beautiful SF office with a high-energy, in-person cultureBenefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plansWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.