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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Portfolio Data Science Director - **Company:** GSK LLP - **Location:** Upper Providence Township, PA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Cloud Computing, Continuous Integration, DevOps, R (Programming Language), Python (Programming Language), Generative AI, Information Technology, Artificial Intelligence Governance - **Published:** October 2, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88493214/1 ## About the Role * Doctoral degree in a quantitative or scientific discipline (e.g. statistics, computer science, engineering, operations research, economics, physical or life sciences) with 10+ years of relevant experience; or a Master's degree with extensive years of relevant experience. * Demonstrated people-leadership experience, leading and developing teams of data scientists and technical/analytics project teams. * Demonstrated ability to deliver analytics applications to internal business users, from concept through production adoption. * Deep expertise across data science, analytics and AI methods, with the judgement to match methods to business decisions. * Experience partnering with and influencing senior and executive stakeholders through structured, data-backed recommendations. * Experience managing prioritisation and delivery across a portfolio of technical projects to agreed timelines. Preferred Qualifications: * Experience in pharmaceuticals, biotech or another R&D-intensive industry, ideally with exposure to portfolio, investment or resource-management decision-making. * Track record of building or scaling a data science / analytics function, including platforms, standards and ways of working. * Hands-on grounding in modern data science and software delivery (e.g. Python/R, cloud, app development frameworks, CI/CD, containerisation). * Experience establishing responsible-AI, model-governance and data-quality practices. * Experience with Generative AI tools and frameworks and their responsible application to business problems. * Experience working in a matrixed, global organisation., We value clear, practical thinking and constructive collaboration. We want people who care about building others, who explain complex ideas simply and who focus on delivering high-quality, trustworthy analyses that improve patient outcomes., Continuing Learning, Influencing Without Authority, Leadership, Problem Solving, Statistical Methods ## Description The Head, Data Science, Analytics, and AI sets the vision for, builds and leads the data science, analytics and AI capability that underpins R&D portfolio and strategic resource-management decisions. A peer to the Senior Director, Portfolio Projects, you will own the strategy, talent, standards and delivery of a multidisciplinary team -Portfolio, Finance and Strategic Resource Management teams - and be accountable for turning data into decision-ready analytics applications that internal business users rely on every day. This is a senior people-leadership role. You will lead, grow and develop a team of data scientists, analysts and engineers; set technical direction across data science and analytics projects; and partner with senior leaders across development operations, research units, finance and technology to translate business need into high-impact, responsibly built solutions. Responsibilities Strategy & vision * Define and own the strategy for data science, analytics and AI in support of R&D portfolio investment and strategic resource-management decisions. * Shape the roadmap of models, analytics applications and capabilities, balancing near-term delivery with long-term capability build. * Act as a peer to the Senior Director, Portfolio Projects, aligning the analytics agenda with portfolio, finance and operational priorities. People & technical leadership * Lead, hire, grow and develop a multidisciplinary team of data scientists, analysts and engineers, to support analytics across multiple teams including the Finance, Portfolio and Strategic Resource Management teams. * Set technical direction and standards across data science and analytics projects; manage prioritisation, delivery and quality across a portfolio of work. * Provide coaching, career development and performance management, building a high-performing, inclusive team culture. Delivery of analytics applications to business users * Be accountable for delivering robust, usable analytics applications and products to internal business users - from valuation and forecasting tools to resource-planning and KPI dashboards. * Ensure solutions are production-grade, well-supported and adopted, with clear ownership, documentation and user enablement. * Drive reusable platforms, patterns and standards that scale analytics delivery across the function. Partnership, governance & responsible AI * Partner with and influence senior and executive stakeholders, presenting analysis, trade-offs and recommendations that shape investment and resourcing decisions. * Own analytical governance, data quality and methodological rigour across the function's deliverables. * Champion the responsible, compliant use of Gen AI and advanced analytics in a regulated environment., We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/ GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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