Verana Health
Senior Director, Data Development
$210K–$262K
New York, New York, United States,San Francisco, California, United States,Knoxville, Tennessee, United States, Remote +3 · Remote · Director · Full-time · Posted Jun 25, 2026
- Location
- New York, New York, United States,San Francisco, California, United States,Knoxville, Tennessee, United States, Remote
Knoxville, Tennessee, United States
New York, New York, United States
San Francisco, California, United States - Experience
- 10+ years applying machine learning to clinical or healthcare datasets; 5+ years managing technical teams.
- Education
- Master’s or doctorate in a quantitative discipline (e.g., data science, computer science, machine learning, biostatistics, biomedical informatics, etc.).
- Visa sponsorship
- Applicants must be authorized to work in the United States; the company cannot provide visa sponsorship or OPT/STEM extension support.
About the job
Leads teams developing and deploying machine-learning systems that turn clinical EHR, text, and imaging data into scalable healthcare data products and real-world insights.
What you'll do
- Lead a team developing and operationalizing machine-learning solutions for structured and unstructured healthcare data, including clinical text and imaging.
- Set technical strategy and standards for model lifecycle management, validation, reproducibility, explainability, governance, and documentation.
- Partner with Product, Engineering, Medical, and Commercial teams; mentor technical staff and align solutions with scientific and business goals.
What they ask for
- Master’s or doctorate in a quantitative discipline.
- 10+ years applying machine learning to clinical or healthcare datasets, including recent experience deploying, fine-tuning, evaluating, or operationalizing foundation models and applied ML systems.
- 5+ years managing technical teams.
- Strong programming experience using Python, SQL, PySpark, R, or similar tools.
Nice to have
- Experience with modern cloud-based ML ecosystems and production deployment workflows.
- Familiarity with machine-learning approaches for clinical imaging data and clinical datasets derived from EHR systems.
Pay
$209,534 - $261,918 USD (base salary)
Tools
Python, SQL, PySpark, R, Databricks, SageMaker, MLflow
AI focus
Applies machine learning and foundation models to clinical text, imaging, and other healthcare data, including evaluation, fine-tuning, deployment, and monitoring for real-world healthcare applications.
Model-written summary · the original posting is authoritative