Leader of R&D Digitalization & Advanced Analytics
About The Position
The Head of R&D Digitalization & Advanced Analytics leads the end‑to‑end digital transformation of Global R&D, shaping the strategy and execution of digital, data, and automation initiatives across all R&D centers. This role is responsible for mapping scientific and operational processes, identifying opportunities to digitalize workflows, and enabling the effective use of data to accelerate development timelines, enhance decision‑making, and increase productivity. A key mandate of the position is to convert scientific and operational data into predictive insights that support advanced modeling, simulation, and virtual experimentation (such as virtual labs) to drive faster, more robust formulation and drug product development. The role serves as a strategic integrator between science, data, and technology, partnering closely with R&D functions, IT, external collaborators, and senior leadership to embed digital capabilities into everyday R&D execution.
Requirements
- Global R&D Leadership Team
- Heads of Formulation, Analytical, MS&T, Feasibility, and Lifecycle Management
- IT / Digital / Data Science teams
- Quality and Regulatory
- External technology and analytics partners
Responsibilities
- Develop and own the global R&D digitalization strategy aligned with R&D and BU Pharma objectives.
- Map end to end R&D processes across all R&D centers (e.g., formulation, analytical, MS&T, feasibility, lifecycle) to identify automation and digitalization opportunities.
- Prioritize initiatives based on scientific impact, speed, scalability, and return on investment.
- Identify repetitive, manual, or data intensive R&D activities suitable for automation.
- Drive implementation of automation solutions (e.g., data capture, workflow automation, integration of lab systems).
- Establish global standards for digital tools and processes to ensure scalability and consistency across sites.
- Leverage R&D scientific data to build predictive models supporting formulation development, process optimization, and risk assessment.
- Enable simulation based and data driven development approaches, including virtual labs and in silico experimentation, to reduce experimental cycles and accelerate decision making.
- Partner with formulation, analytical, and MS&T experts to ensure models are scientifically sound and fit for purpose.
- Define R&D data architecture needs in collaboration with IT, ensuring accessibility, integrity, and regulatory compliance.
- Promote reuse of scientific data across projects and lifecycle stages.
- Embed digital tools into core R&D workflows rather than as standalone pilots.
- Act as a change leader, driving adoption of digital tools and new ways of working across R&D sites.
- Build strong partnerships with R&D leaders, IT, Quality, Regulatory, and external technology partners.
- Develop digital and data capabilities within R&D through targeted upskilling and talent development.
- Establish clear governance for digital initiatives, including prioritization, milestones, and success metrics.
- Track and communicate impact (e.g., cycle time reduction, cost avoidance, quality improvement, scientific insight generation).
- Ensure digital investments deliver measurable business and scientific value.
Benefits
- 401(k) plan with company contributions
- paid vacation
- holiday and personal days
- employee assistance program
- health benefits to include medical, prescription drug, dental and vision coverage
- life insurance
- disability
- wellness program
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
