Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereNo government sponsor record covers this employer in this country.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
SRM Portfolio Business Partner
Business Introduction
GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.
Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.
Position Summary
Provide cross-portfolio strategic insight into resource allocation and constraints so R&D headcount capacity is deployed proactively, matched to portfolio priorities and value creation, rather than managed reactively at the individual project or function level.
Partner with the R&D wide organization to provide portfolio wide visibility of demand v capacity data, surface constraints proactively and model scenarios to mitigate gaps. With the Head; SRM, broker trade-off discussions with RDLT and other senior stakeholders, across functions and RUs to provide resourcing insights into investment and governance decisions.
Responsibilities
• Providing a single, trusted, portfolio-wide view of FTE resource and capacity data, across all Assets and Projects, that allows for the provision and interrogation of data to generate and share the insights and information needed to optimise FTE resources across the portfolio.
• Partnering with senior stakeholders (RDLT/SVPs/VPs) RUs, Functions, Finance and Portfolio Decision Sciences leaders to align strategic priorities to resource plans, highlighting risks and constraints and insights on trade-offs linked to the portfolio.
• Give portfolio-wide FTE visibility : deliver "a single, trusted, portfolio-wide view of FTE resource and capacity data, across all Assets and Projects" so leaders can interrogate and share insights to optimise FTE allocation
• Surface constraints proactively : the role is meant to ensure "across all of R&D our resources are optimized for delivery," identify "any constraints to that delivery," and do so proactively rather than reactively
• Model scenarios and flag gaps : use AI/analytics to "run portfolio-wide scenario planning," pull functional and Research Unit resourcing positions against demand, and flag "crunch points down to role level" and "upcoming capacity gaps" across the whole R&D portfolio.
• Broker trade-offs : align FTE resources to the portfolio's top-priority projects across functions, business units, and geographies, brokering trade-offs where capacity is constrained.
• Inform governance decisions : feed these headcount/capacity insights into key investment and governance forums (dPR, SPR, PIB, QPR), acting as the trusted adviser on resourcing matters at that level
• Using AI and data analytics to run portfolio-wide scenario planning and pull together functional and Research Unit (RU) resourcing positions against demand; surfacing crunch points down to role level and flagging upcoming capacity gaps across the entire R&D portfolio.
• Championing the adoption of AI and analytics tools — dashboards, predictive models and automation — to give leadership real-time resourcing visibility.
Qualifications/Skills
Basic Qualifications:
• Strong understanding of this industry
• Extensive experience in R&D with relevant experience of implementing and a global resource management framework
• Experience linking resources and financial with portfolio management, with exposur
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