# Translational ML Scientist at Evvy

- Company: Evvy
- What the company does: Get innovative vaginal healthcare, powered by our state-of-the-art Vaginal Microbiome Test. Our clinical care platform includes Rx for bacterial vaginosis (BV), yeast infections, aerobic vaginitis, fertility and more. Trusted by 100,000+ users. Backed by General Catalyst.
- Company website: https://www.evvy.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York City
- Work setup: On-site
- Posted: 2026-05-18
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/evvy/5c3dbebe-9839-4a21-9b8f-cf26339b6c73
- Page: https://www.1752.vc/careers/jobs/evvy-translational-ml-scientist/

## 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.

## What they're looking for

- 5–8 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)
- Genuinely 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
- Industry experience shipping ML or computational biology models, not just publishing them. You've built things that ran in production and served real users
- Hands-on fluency in Python and modern ML frameworks (PyTorch, scikit-learn, and similar), and with microbiome-specific tools (QIIME2, MetaPhlAn, HUMAnN, or similar)
- Deep familiarity with the realities of microbiome data, including compositional data, sparsity, batch effects, and the difference between taxonomic and functional profiles
- A strong product instinct. You understand that the deliverable isn't the model, it's the feature or diagnostic the model enables

Tags: Science / R&D