Senior Machine Learning Scientist

Senior Machine Learning Scientist, MicrobiomeJob Type: Full time - Permanent

Location: New York City (hybrid, 4 days onsite) 📍A fast-growing, venture-backed precision women’s health company is using microbiome science and AI to solve conditions that have been overlooked for decades.

They have built one of the largest proprietary microbiome datasets in the world, paired with longitudinal symptom, treatment and outcomes data from over 100,000 patients. They’re now looking for a Senior ML Scientist to turn that data into diagnostic and prognostic tools used by clinicians and patients.What you’ll do:Build diagnostic and prognostic models, including classifiers, risk prediction, biomarker discovery and treatment personalizationWork hands-on with shotgun metagenomics data paired with patient-reported outcomesOwn models end to end: feature engineering, training, validation, calibration, monitoring and production handoverPartner with R&D, product and engineering to turn model outputs into real clinical featuresSet modelling standards across evaluation, reproducibility and how uncertainty is communicatedHelp shape the modelling roadmap and decide what to build nextWhat you’ll bring:PhD (preferred) or MS in computational biology, bioinformatics, ML, statistics or a related field5 to 8 years of post-degree experience building ML models on biological dataIndustry experience shipping models into production, not just publishing themStrong Python and ML framework skills (PyTorch, scikit-learn)Hands-on experience with microbiome tools such as QIIME2, MetaPhlAn or HUMAnNDeep understanding of compositional data, sparsity and batch effectsA strong product mindset and the ability to work across clinical, product and engineering teamsThis is a chance to join a mission-driven women’s health company at a real inflection point, building models that go straight into products used by thousands of patients and providers.