Senior Director, Data Development
New
V
Verana HealthDigital health
Employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, VA, WA. All employees are required to have permanent residency in one of these states.Full-TimeDirector
Salary209,534 - 261,918 USD per year
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Job Details
- Experience
- 10+ years of experience applying machine learning to clinical or healthcare datasets; 5+ years managing technical teams.
- Required Skills
- PythonSQLMachine LearningMLFlowDatabricksRPySpark
Requirements
- Master’s or doctorate in a quantitative discipline such as data science, computer science, machine learning, biostatistics, or biomedical informatics.
- 10+ years of experience applying machine learning to clinical or healthcare datasets.
- Recent experience deploying, fine-tuning, evaluating, or operationalizing foundation models and applied machine learning systems.
- 5+ years managing technical teams.
- Strong programming experience using Python, SQL, PySpark, R, or similar tools.
- Experience with modern cloud-based machine learning ecosystems and deployment environments, such as Databricks, SageMaker, MLflow, or distributed compute platforms.
- Experience moving machine learning systems from experimentation into production, including evaluation, monitoring, performance optimization, and operationalization.
- Familiarity with machine learning approaches for clinical imaging data.
- Experience working with clinical datasets derived from EHR systems and related healthcare data sources.
- Ability to communicate clearly and deliver internal and external presentations, particularly to executive teams.
- Ability to work effectively with cross-functional teams and inform data product roadmaps.
- Ability to prioritize and manage multiple initiatives with high attention to detail.
Responsibilities
- Lead a team developing and operationalizing machine learning solutions for structured and unstructured healthcare data, including clinical text and imaging workflows.
- Guide the evaluation, fine-tuning, deployment, and monitoring of pretrained language models for healthcare applications.
- Define technical strategy and development priorities for machine learning capabilities supporting Verana’s data products.
- Establish best practices for model lifecycle management, validation, reproducibility, explainability, and documentation.
- Partner with Product, Engineering, Medical, and Commercial teams to align technical solutions with scientific and business objectives.
- Drive data quality, model governance, and clinical relevance in production data products.
- Mentor and develop machine learning scientists and technical leaders across the organization.
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