Hybrid Senior Director, Head of Data Science – Digital Health, Therapeutics Discovery

at OneTrust

• Job title: Senior Director, Head of Data Science – Digital Health, Therapeutics Discovery
• Job type: Full Time
• Experience level: Senior
• Salary: $196,000 - $342,700 per year
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, Spring House, United States

About the role

• Leading Data Science and engineering strategy for R&D Therapeutics Discovery at Johnson & Johnson. Collaborating with TD leadership and IT to drive automation and data integration.

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’s 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.)

Requirements

• 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.

Benefits

• Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
• This position is eligible to participate in the Company’s long-term incentive program.
• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year