Leader of R&D Digitalization & Advanced Analytics

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.
• Earn 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.

  Qualifications

  • PhD in a relevant field such as Chemistry, Chemical Engineering, Biotechnology, Computer Science, or related technical discipline.
  • Proven track record in leading digital transformation efforts in pharmaceutical R&D.
  • Experience in implementing automation solutions and establishing digital tool standards.
  • Strong background in data analysis, modeling, and simulation techniques.
  • Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
  • Ability to manage multiple projects simultaneously and prioritize tasks based on scientific impact, speed, scalability, and return on investment.
  • Experience in regulatory compliance and data management.
  • Knowledge of industry best practices in R&D digitalization and advanced analytics.

  Skills

  • Strategic thinking and project management skills.
  • Technical expertise in R&D processes, data science, and automation.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work collaboratively with diverse stakeholders.
  • Experience in leading digital transformation initiatives.

  Benefits

  • Comprehensive benefits package including medical, dental, and vision coverage.
  • Life insurance, disability, and 401K with company contribution.
  • Wellness program.