Senior Director, Data and Science (Data Development)

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Requirements:

• Master’s or doctorate in a quantitative discipline such as data science, computer science, machine learning, biostatistics, or biomedical informatics.
• 10+ years of hands-on experience with state-of-the-art natural language models like BERT and Longformer.
• 5+ years managing technical teams.
• Strong familiarity with programming languages including Python, Pyspark, R, SQL.
• Experience with coding platforms such as Databricks, Amazon Sagemaker, and Visual Studio Code.
• Familiarity with machine learning approaches for clinical imaging data.
• Knowledgeable in clinical datasets derived from EHR systems.
• Clear communication skills and ability to present to executive teams.
• Ability to work effectively with cross-functional teams and manage multiple initiatives with attention to detail.

Responsibilities:

• Oversee group that is addressing clinical problems by developing and leveraging natural language processing approaches to analyze and reason over EHR clinical notes.
• Utilize deep learning techniques to classify and segment clinical images.
• Establish and maintain best practices for data exploration, model development, deployment lifecycle, and data/code/documentation management.
• Work on variable and Qdata development with emphasis on scientific accuracy and explainability for commercial projects.
• Collaborate cross-functionally with teams such as Commercial, Product, Medical, and Engineering to provide input into data requirements.
• Mentor team members in standardizing machine learning and natural language processing best practices.