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VP, MDS Digital & Knowledge Management

WISE Campaign

Stevenage

Hybrid

GBP 100,000 - 120,000

Full time

Today
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Job summary

A global biopharmaceutical company is seeking a VP for MDS Digital and Knowledge Management to lead the digital transformation of Chemistry, Manufacturing, and Controls. This role will focus on leveraging data science and automation to drive measurable business value. The ideal candidate will have a strong background in digital strategy and data science, with at least 5 years of experience in the data field and a master’s degree or higher. Hybrid work model available with a dynamic team environment.

Benefits

Comprehensive benefits package
Equal opportunity employer
Hybrid work model

Qualifications

  • Minimum 5 years of experience in data/digital field.
  • 15 years in biopharmaceutical or related industry.
  • Expertise in technology and digital transformation.

Responsibilities

  • Develop and implement digital strategy for CMC development.
  • Lead innovation in data science and automation.
  • Build partnerships to align digital investments with business objectives.

Skills

Leadership in digital transformation
Data science expertise
Automation engineering
Strategic thinking
Excellent communication

Education

MSc in Life Sciences, Data Science or Engineering
PhD in relevant fields (preferred)
Job description
Overview

VP, MDS Digital & Knowledge Management. Position summary: Are you ready to lead the digital transformation of Chemistry, Manufacturing, and Controls (CMC) development within GSK R&D? As VP, MDS Digital and Knowledge Management, you will play a pivotal role in leveraging data, automation, and predictive modelling to accelerate pipeline progression and drive measurable business value. This role offers the opportunity to collaborate across global teams, foster innovation, and build capabilities that ensure GSK remains at the forefront of medicines development. We are seeking a visionary leader who thrives in a dynamic environment and is passionate about empowering teams to deliver impactful solutions and fostering a culture of curiosity, collaboration, agility, quality and continuous improvement.

Responsibilities
  • Develop and Lead Digital Strategy: Create and implement a forward-looking digital strategy for CMC development, aligning with organisational goals and driving measurable outcomes.
  • Drive Innovation in Data Science and Automation: Lead teams to develop predictive modelling, automation, and AI capabilities that improve cycle times and success probabilities across modalities.
  • Establish Governance and Data Stewardship: Implement governance mechanisms to ensure trust in AI-ready data assets and compliance with regulatory standards.
  • Collaborate within and outside of the Enterprise: Build partnerships with internal stakeholders to align, assess and prioritise digital investments with business objectives, demonstrating ROI and business value. Collaborate externally to stay ahead of emerging trends.
  • Champion Change Management: Foster a data-driven culture by enhancing digital competencies and driving adoption of innovative tools and methodologies.
  • Lead Automation and Robotics Strategy: Define and execute strategies (including owning the capital investment strategy) for automation and robotics, harmonising capabilities across CMC functions to deliver high-quality data for predictive technologies.
  • Culture of Excellence and Innovation: Inspire and build a team culture of collaboration, curiosity, and continuous improvement, attracting top talent to lead industry advancements in automation, engineering, data science, and modelling capabilities.
Qualifications

Basic Qualifications:

  • MSc in Life Sciences, Data Science, Engineering, or a related discipline.
  • Experience in CMC development, automation engineering, and data science/ predictive modelling.
  • Minimum of 5 years of experience in the data/digital field and (15 years) in the biopharmaceutical or related industry.
  • Expertise in driving technology and digital transformation aligned with business objectives and in matrixed organisations.

Preferred Qualifications:

  • PhD in Life Sciences, Data Science, Engineering, or a related discipline.
  • Demonstrated ability to foster a culture of innovation and continuous improvement.
  • Deep knowledge of computational sciences, AI/ML, and high-performance computing applications.
  • Strong strategic thinking skills with the ability to anticipate future trends and disruptions.
  • Excellent communication and collaboration skills, with experience influencing stakeholders across diverse teams.
Work Location

This role is based in the United States, the UK or Belgium and offers a hybrid working model, with 23 days per week on-site at a GSK location.

Benefits and Additional Information

Join us in shaping the future of medicines development and supply through digital innovation and knowledge management. We offer comprehensive benefits for employees. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies: GSK does not accept referrals from employment businesses and/or employment agencies for vacancies posted on this site. All employment businesses/agencies are required to obtain prior written authorization before referring any candidates to GSK.

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