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Staff Data Scientist, Machine Learning – Epidemiology and Patient Data Products
Valo HealthStaff Data Scientist developing machine learning tools for patient data at an AI-enabled biotechnology company. Collaborating with a diverse team to advance drug discovery and development.
Posted 5/15/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLead💰 $165,000 - $190,000 per yearWebsite
Tech Stack
Tools & technologiesPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- lead the development of machine learning (ML) methods and analyses of patient data
- perform project-specific hands-on analysis and modeling of high-dimensional longitudinal real-world data
- contribute to the design, implementation, and evaluation of innovative machine learning approaches
- articulate and break down large problems into solvable pieces
- participate in code reviews and provide regular updates on work
Requirements
What you’ll need- MS, MPH, or PhD in health data science, biostatistics, or a related quantitative field with 5 years of experience developing and applying ML methods
- extensive experience developing and implementing machine learning solutions in healthcare databases, including EHRs, administrative claims, and patient registries
- familiarity with U.S. and global medical coding ontologies and data models (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, OMOP, etc.)
- broad proficiency across core ML paradigms (e.g., supervised, unsupervised, semi-supervised)
- strong grounding in key components of the ML development lifecycle
- mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow)
- exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time every time
Benefits
Comp & perks- healthcare coverage
- annual incentive program
- retirement benefits
- broad range of other benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata analysismodelinghigh-dimensional datasupervised learningunsupervised learningsemi-supervised learningML development lifecyclehealth data sciencebiostatistics
Soft Skills
problem-solvingtime managementprioritizationcommunication
Certifications
MSMPHPhD