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Evvy

Translational ML Scientist

  • Seen live on Evvy's site today
  • Senior
Pay
Not stated
Location
New York City
Open for
12+ days
First seen
Oct 23, 2026
Apply on Evvy's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Evvy's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Evvy, so its true age is longer.

Last checked Nov 4, 2026.

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What it asks of you

PhD asked 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” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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 $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.

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

What We’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
  • Strong cross-functional collaboration skills. You can work effectively with clinical researchers, product managers, and engineers, and translate between their worlds
  • High 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

Working at Evvy

Evvy 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.

Our Values

Start with the why. We tie everything back to a user need or company goal.

Figure it out. We take initiative, embrace ambiguity, and build from first principles.

Create win-wins. We solve problems with patients, partners, and the business in mind.

Own it to the end. We close every loop and take pride in the details.

Stay eleven steps ahead. We anticipate, plan, and act with foresight and speed.

Company Benefits

  • Competitive salary and equity package
  • Flexible PTO
  • $1K learning and development budget
  • Health, dental, and vision insurance, plus HSA plans
  • 401(k) plan (Roth and traditional)
  • Monthly team events
  • Free Evvy membership
  • Paid parental leave

Evvy 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.

All communications will come from an @ evvy.com email address.

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