Evvy
Translational ML Scientist
New York City · Exec
Sponsorship not specifiedDetected 65 days ago
PythonMachine LearningPyTorchscikit-learnStatistics5G/LTEBioinformaticsResearchLeadershipCommunicationCollaboration
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.
- We're looking for someone who can move comfortably between biological questions, modeling decisions, and product implications.
Responsibilities
- 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
- 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
- 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
- Top tier team, investors, and partners.
- You can hold your own in a methods discussion with ML engineers and in a biology discussion with researchers
Requirements
- Industry experience shipping ML or computational biology models, not just publishing them.
- You can work effectively with clinical researchers, product managers, and engineers, and translate between their worlds
Compensation
- 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.
Benefits
- $1K learning and development budget
- Health, dental, and vision insurance, plus HSA plans
- Paid parental leave
- 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.
Company info
- The opportunity is to move beyond analysis and build models that become part of real clinical and patient-facing products.
This listing is sourced directly from Evvy's careers page and normalized into a canonical job model.