Senior Director, Data and Science (Data Development)

Your Algorithms Can Save Lives

Are you a visionary data science leader passionate about transforming healthcare through the power of artificial intelligence? Do you excel in a startup environment where your work directly impacts patient outcomes?

As Senior Director, Data and Science (Data Development), you'll lead our Data Development team, harnessing real-world medical data to produce life-saving insights and create advancements across ophthalmology, neurology, and urology. You will lead the development of Verana Qdata®, our data platform that is reshaping drug lifecycle management and clinical practice. You will work with a vast and growing network of de-identified patient data from over 20,000 clinicians, giving you the power to improve healthcare outcomes at scale. This is more than just a job; it's a chance to be at the forefront of a data revolution in medicine.

This is a remote role, reporting directly to the SVP of Data and Science. For employees located within 50 miles of our offices in San Francisco, Knoxville, or New York, we encourage a hybrid work schedule to foster in-person connections and collaboration.

Join us and be part of a team that is transforming healthcare through data science and AI. Your expertise and leadership will directly help save lives and improve patient outcomes on an unprecedented scale.

• Lead and inspire a team of top-tier data scientists and engineers, promoting a culture of innovation, collaboration, and learning.

• Guide the integration of complex clinical data from diverse sources, including electronic health records (EHRs) and medical imaging, ensuring data quality and integrity.

• Architect, develop, and implement state-of-the-art algorithms for data processing, advanced modeling, and insightful interpretation, using the latest advancements in NLP and deep learning.

• Collaborate with teams across the organization, including Commercial, Product, Medical, and Engineering, to define data requirements, translate business needs into technical solutions, and deliver impactful insights that inform strategic decision-making.

• Establish and advocate for best practices for the data exploration lifecycle, ensuring efficient and reproducible research.

• Mentor team members in machine learning and natural language processing standards, promoting their professional growth and expertise.

• Master's degree (required), Ph.D. (preferred) in a quantitative discipline such as Data Science, Computer Science, Statistics, Biostatistics, or a related field.

• 10+ years of hands-on experience deploying and scaling large language models (e.g., BERT, GPT) for real-world clinical applications.

• 5+ years of progressive experience in a leadership role, managing exceptional technical teams.

• Expertise in programming languages such as Python, Pyspark, R, and SQL, and familiarity with cloud-based data platforms like Databricks and Amazon Sagemaker.

• Translate complex technical information to both technical and non-technical audiences, with experience with storytelling and data visualization.

• An understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and ethics considerations related to data use.

At Verana Health, you will be empowered to improve the lives of patients and healthcare professionals. You'll lead the charge in harnessing the power of AI to accelerate clinical research, personalize patient care, and improve outcomes across multiple medical specialties. You will have ample opportunities for professional growth, learning, and development.

Why Join Us?

Verana Health transforms drug lifecycle and medical practice insights using our exclusive real-world data network. We recently secured $150 million in Series E funding, backed by industry leaders like Johnson & Johnson Innovation – JJDC, Inc., Novo Growth, GV, Casdin Capital, and Merck Global Health Innovation Fund.

We offer comprehensive benefits including:

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