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Collaborations Lead

Job in Stevenage, Hertfordshire, SG1, England, UK
Listing for: GlaxoSmithKline
Full Time position
Listed on 2026-06-05
Job specializations:
  • Software Development
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: UK Collaborations Lead

Collaborating with external academic partners is central to GSK’s ambition to accelerate the development of transformative medicines for patients. The UK Collaborations Lead role offers a unique leadership opportunity to build and deliver high‑impact partnerships, operate entrepreneurially within a complex ecosystem, and influence across boundaries in order to translate scientific excellence into patient value.

Responsibilities
  • Lead key enterprise‑level activities, including delivery of strategic UK collaborations (e.g., Cambridge‑GSK Translational Immunology Collaboration).
  • Develop and nurture trust‑based relationships with internal and external partners, ensuring alignment with GSK values and long‑term vision.
  • Shape the development, evolution and delivery of a network of partnerships, science and portfolios to maximize value to GSK.
  • Establish, implement and optimize GSK and collaborative scientific research activities in partnership with collaborators.
  • Drive GSK interests as a member of external collaborations scientific and operational teams for UK collaborations.
  • Collaborate with internal partners and senior stakeholders to review, prioritise and access existing and new collaborative project opportunities.
  • Work closely with the global collaborations team to maximise synergies between collaborations, including optimal placement of projects and capability mapping to achieve the optimal balance of internal and external science.
  • Contribute to the scientific assessment of value for UK collaborations and make recommendations for extension or termination, while monitoring the budget allocated to the collaborations.
  • Act as a highly visible leadership role requiring strategic agility, entrepreneurial mindset, exceptional communication skills, creative thinking, and influence at all levels within a complex global matrix.
Basic Qualifications
  • PhD degree or equivalent experience in a scientific discipline.
  • Strong experience as a Research Scientist or Discovery Leader in the pharmaceutical or academic research environment.
  • Demonstrated experience initiating and/or leading complex external academic research collaborations relevant to early drug discovery, including target discovery and validation, translational human data, platform technologies or clinical translation.
  • Experience applying AI‑enabled tools or digital technologies to streamline workflows, automate reporting, enhance data analysis or support decision‑making relevant to early drug discovery processes.
  • Experience influencing senior leaders and working in complex environments.
  • Experience developing strategies and ope rationalising strategic decisions, providing leadership in multifunctional teams.
  • Experience solving key operational and/or research‑related challenges, with demonstrable impact on time to execution, deliverables or other project impact.
  • Experience communicating complex concepts to diverse audiences.
Preferred Qualifications
  • Understanding of legal, intellectual property, compliance and governance issues that impact translational science at the academic‑industry interface.
  • Experience with implementation of data‑management principles around large‑scale data‑focused collaborations.
  • Knowledge of project management principles.
  • Experience working in translational science that supports early drug discovery.

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 (including family medical history), military service or any basis prohibited under federal, state or local law.

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