Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
New York City, New York, United States
Actively hiring, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: FullTimeFrom the employer’s posting
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.
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.
You’ll work with the world’s largest dataset on the vaginal microbiome paired with longitudinal symptom, treatment, and outcomes data.
Work hands-on with Evvy's proprietary dataset of shotgun metagenomics paired with patient-reported outcomes
Work directly with product and engineering to translate model outputs into features and diagnostic tools that clinicians and patients can use
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.
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.
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
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
From the employer’s posting.
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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.
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
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
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.
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.
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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New York City, New York, United States
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
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
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