Sr Director, Head of Data Science & Digital Health -Therapeutics Discovery

Role Summary

Senior Director to lead our Data Science and engineering strategy for our R&D Therapeutics Discovery (TD) organization. This role will partner closely with TD leadership, data scientists embedded in the TD teams, and our IT partners to streamline Discovery data automation, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio. You will shape how discovery data is captured, integrated, and leveraged to accelerate decision-making and innovation. This position requires a visionary leader who can align TD’s data strategy while ensuring interoperability with other departments such as Preclinical Sciences & Translational Safety (PSTS), Therapeutics Development & Supply (TDS), and all our Therapeutic Areas.

Responsibilities

• Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT.
• Lead the design and implementation of scalable data pipelines to support discovery workflows.
• Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD.
• Co-Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization.
• Lead a core team of data scientists and engineers to support TD in reaching its strategic goals.
• Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD‚Äôs business objectives.
• Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards.
• Works with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in Therapeutic Discovery (for example: experiment design, molecule design, lab process automation, etc.).

Qualifications

• PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field.
• 12+ years in data science for drug discovery, with experience leading teams in a matrix setting.
• Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains.
• Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of drug discovery workflows.
• Demonstrated success in delivering interoperable data products and scalable analytics platforms.
• Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization.

Skills

• Advanced Analytics
• Budget Management
• Business Alignment
• Compliance Management
• Consulting
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Strategic Thinking

Education

• PhD or equivalent experience in a related field as listed above.

Additional Requirements

• Travel: Up to ~25% domestic/international
• Location: Primary Spring House, PA; open to Cambridge, MA