Senior Director of Data & Science, Verana Health

• 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?
• Your expertise and leadership will directly help save lives and improve patient outcomes on an unprecedented scale
• 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

• 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
• Reporting directly to the SVP of Data and Science
• Join us and be part of a team that is transforming healthcare through data science and AI
• 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
• 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

• Collaboration: Hybrid work environment with remote employees and offices in San Francisco, New York, and Knoxville
• Wellness Programs: Access to industry-leading apps in mental health, physical health, and family planning
• Financial Health: 401(k) plan, financial planning, and life insurance benefits
• Time Off: Flexible Time Off, Volunteer Time Off, Parental Time Off, Sick Time, and more
• Recognition: Celebrating Anniversaries, Birthdays, Manager to Employee Recognition, Peer to Peer Recognition
• Healthcare: Multiple affordable options for health, dental, and vision insurance (including Telehealth)

Total funding: $107.8m

Verana Health is taking a unique approach to patient care by creating the largest clinical database in the medical industry. Its database allows physicians to gain a deeper understanding of patients' conditions to provide faster and more efficient treatment options.