{"id":693577,"url":"https://alion.io/job/evvy-translational-ml-scientist","title":"Translational ML Scientist","company":{"id":673364,"name":"Evvy","domain":"evvy.com","url":"https://alion.io/company/evvy","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":55,"open_postings":12,"ghost_share":0.75,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":153000,"max_usd":290000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":817},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false}],"status":"live","first_seen_at":"2026-05-18T13:58:56Z","employer_posted_date":"2026-05-18","last_verified_at":"2026-09-28T21:40:11Z","board_verified":true,"closed_at":null,"days_open":133,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":132},"description":"About Evvy\nAt Evvy, we believe the female body shouldn’t be a medical mystery.\nWe are a precision women’s health company leveraging the vaginal microbiome to improve outcomes across a woman's lifespan. Backed by $60M+ from leading investors, we serve over 100,000 patients and 3,000 providers nationwide with our validated Vaginal Microbiome Test and AI-powered personalized care platform.\nThrough this work, we have built the world’s largest dataset on the vaginal microbiome - a proprietary foundation that will drive breakthroughs in infertility, preterm birth, gynecological cancers, and beyond.\nWhy join now?\nEvvy is a generational opportunity in women's health - and we're at the inflection point.\nWe’ve built a dataset no one has. Evvy has generated the world’s largest vaginal microbiome dataset from 100,000+ patients, uncovering novel biological markers underlying women’s health conditions that collectively cost the healthcare system $180B+ annually.\n\nValidated, AI-first platform. We’ve built a comprehensive testing and care platform that unlocks personalized treatment pathways for each patient. Our work is supported by research published in major peer-reviewed journals and presented at major clinical conferences (including ACOG, ASRM, IDSOG, and more).\n\nProven traction, massive opportunity. We serve 100,000+ patients and 2,000 providers nationwide, with rapidly growing revenue and an expanding suite of diagnostics and treatments to improve outcomes across condition areas. We've only scratched the surface.\n\nTop tier team, investors, and partners. Our world-class team is backed by industry leading investors, including General Catalyst, Left Lane Capital, US Fertility, and Labcorp.\n\nWe're looking for high-horsepower, mission-driven people who find it unacceptable that the female body is still a medical mystery - and want to help change that.\nAbout the Role\nWe’re looking for a Senior ML Translational Scientist to help turn Evvy’s microbiome data into the diagnostic and prognostic tools that power our products. You’ll work with the world’s largest dataset on the vaginal microbiome paired with longitudinal symptom, treatment, and outcomes data. The opportunity is to move beyond analysis and build models that become part of real clinical and patient-facing products.\nReporting to the Co-founder & CSO, you’ll lead the modeling work behind Evvy’s classifiers, risk prediction tools, biomarker discovery, and treatment personalization efforts. We’re looking for someone who can move comfortably between biological questions, modeling decisions, and product implications.\nYou’ll decide how models are built and work closely with cross-functional teams to determine how they are interpreted, validated, and translated into tools clinicians and patients can trust. This role sits at the intersection of machine learning, microbiome science, clinical translation, product, and engineering.\nEvvy is a primarily in-person team based in NYC. We strongly prefer NYC-based candidates, but we're open to remote for an exceptional fit.\nWhat You'll Do\nBuild the diagnostic and prognostic models that power Evvy's clinical and consumer products- including classifiers, risk prediction, biomarker discovery, and treatment response and personalization models\n\nWork hands-on with Evvy's proprietary dataset of shotgun metagenomics paired with patient-reported outcomes\n\nOwn models end-to-end, from feature engineering and training through validation, calibration, performance monitoring, and the documentation engineering needs to take them from prototype to production\n\nPartner closely with leadership and Evvy’s R&D team to define what each model needs to do, what \"good\" looks like in performance and interpretability, and how to validate against real-world outcomes\n\nWork directly with product and engineering to translate model outputs into features and diagnostic tools that clinicians and patients can use\n\nSet Evvy's modeling standards across evaluation, validation, reproducibility, and how we communicate uncertainty to clinicians and patients\n\nHelp shape Evvy's modeling roadmap, identifying where the dataset has unique leverage and what to build next\n\nWhat We’re Looking For\n5-8 years of post-PhD or post-MS experience building ML models on biological data; PhD in computational biology, bioinformatics, machine learning, statistics, or a related field strongly preferred (we're open to exceptional MS candidates)\n\nGenuinely strong in both machine learning and computational biology. You can hold your own in a methods discussion with ML engineers and in a biology discussion with researchers\n\nIndustry experience shipping ML or computational biology models, not just publishing them. You've built things that ran in production and served real users\n\nHands-on fluency in Python and modern ML frameworks (PyTorch, scikit-learn, and similar), and with microbiome-specific tools (QIIME2, MetaPhlAn, HUMAnN, or similar)\n\nDeep familiarity with the realities of microbiome data, including compositional data, sparsity, batch effects, and the difference between taxonomic and functional profiles\n\nA strong product instinct. You understand that the deliverable isn't the model, it's the feature or diagnostic the model enables\n\nStrong cross-functional collaboration skills. You can work effectively with clinical researchers, product managers, and engineers, and translate between their worlds\n\nHigh agency, low ego. You move fast, decide with imperfect information, own outcomes fully, and care more about the work being right than about being right\n\nWorking at Evvy\nEvvy is a primarily in-person team based in New York, NY with a strong culture of collaboration and connection. We work from the office 4 days a week (Wednesdays remote), and we genuinely enjoy spending time together: team dinners, happy hours, and shared wins are part of the rhythm here.\nOur Values\nStart with the why. We tie everything back to a user need or company goal.\nFigure it out. We take initiative, embrace ambiguity, and build from first principles.\nCreate win-wins. We solve problems with patients, partners, and the business in mind.\nOwn it to the end. We close every loop and take pride in the details.\nStay eleven steps ahead. We anticipate, plan, and act with foresight and speed.\nCompany Benefits\nCompetitive salary and equity package\n\nFlexible PTO\n\n$1K learning and development budget\n\nHealth, dental, and vision insurance, plus HSA plans\n\n401(k) plan (Roth and traditional)\n\nMonthly team events\n\nFree Evvy membership\n\nPaid parental leave\n\nEvvy is an equal opportunity employer committed to diversity and inclusion. We welcome applicants of all backgrounds and do not discriminate based on race, gender, sexual orientation, age, disability, or other protected characteristics.\nAll communications will come from an @ evvy.com email address.","description_format":"text","description_chars":6846,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Diagnostic Tests & IVD","Telemedicine & Virtual Care","Women’s Health & Maternity"],"lifecycle":[{"event":"open","at":"2026-09-11T01:27:21Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.22,"p_room":0.28,"age_days":132,"expected_fill_days":42,"reasons":["conf:3","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/evvy-translational-ml-scientist","json_url":"https://alion.io/job/evvy-translational-ml-scientist.json","meta":{"generated_at":"2026-09-28T22:49:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":463,"day_limit":5000,"remaining_today":4537,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}