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Translational ML Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: Evvy
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Evvy

At Evvy, we believe the female body shouldn’t be a medical mystery.

We are a precision women’s health company leveraging the vaginal microbiome to improve outcomes across a woman's lifespan. Backed by $30M+ from leading investors, we serve over 100,000 patients and 2,000 providers nationwide with our validated Vaginal Microbiome Test and AI-powered personalized care platform.

Through 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.

Why join now?

Evvy is a generational opportunity in women's health — and we're at the inflection point.

  • We’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.
  • Validated, 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).
  • Proven 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.
  • Top 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.

We’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.

About the Role

We’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.

Reporting 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.

You’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.

Evvy 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.

What You’ll Do
  • Build 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
  • Work hands-on with Evvy's proprietary dataset of shotgun metagenomics paired with patient-reported outcomes
  • Own 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
  • Partner 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
  • Work directly with product and engineering to translate model outputs into features and diagnostic tools that clinicians and patients can use
  • Set Evvy's modeling standards across evaluation, validation, reproducibility, and how we communicate uncertainty to clinicians and patients
  • Help shape Evvy's modeling roadmap, identifying where the dataset has unique leverage and what to build next
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