Drives an AI-native strategy for clinical operations, defining where AI adds value, building working prototypes hands-on, and moving priority capabilities into production with enterprise technology teams. Combines strategy, agentic AI solution building, vendor evaluation and build-buy-partner decisions, working with business SMEs to redesign workflows around each capability.
Lead programming activities for complex and pivotal clinical studies, developing, maintaining and validating analysis packages while ensuring compliance with Good Programming Practices and CDISC standards. Mentor junior programmers, support regulatory interactions with EMA and FDA, and bridge scientific requirements with technical solutions in an agile, squad-based global team.
Drives an AI-native strategy for clinical operations, framing hypotheses and building working agentic AI prototypes hands-on before scaling them into production with enterprise technology teams. Combines strategy, solution architecture and build-buy-partner decisions, including vendor evaluation, business cases and GxP-validated deployment, working with R&D leaders and frontline users.
Develops and executes global and regional regulatory strategies for oncology assets, ensuring optimal labelling and approvals while maintaining compliance. Partners with the Global Regulatory Lead and cross-functional teams to shape development plans and regulatory interactions across multiple regions, assessing regulatory intelligence and competitive landscape to inform decisions.
Manages statistical planning and delivery across oncology clinical programs, designing trials and analyses that shape development decisions and regulatory strategy. Works with clinical, regulatory, safety and clinical pharmacology teams, using simulation and advanced methods such as Bayesian and adaptive designs, while mentoring statisticians.
Designs, builds and maintains modular end-to-end data-flows across GSK's R&D division, integrating scattered systems and sources into reusable, machine-readable assets with compliance built into the pipeline. Combines hands-on coding and data specification work with coaching and peer review to raise the team's data-flow standards.
Designs, develops and maintains modular end-to-end data-flows across GSK's R&D ecosystem, turning scattered systems and sources into trusted, reusable, machine-readable assets. Embeds compliance-as-code and governance into pipelines, working with metadata ecosystems and agentic solutions on Azure or GCP, and coaches peers on data-flow best practice.
Provides scientific and strategic leadership for real-world evidence supporting an mRNA vaccine portfolio, with a primary focus on influenza. Shapes evidence generation across late-stage development, launch and post-marketing, leading US post-marketing vaccine effectiveness studies and external academic and data-partner collaborations. Requires deep expertise in influenza epidemiology, real-world data and causal methods, plus influence across a global matrix.
Provides scientific and strategic leadership for real-world evidence supporting an mRNA vaccine portfolio, with a primary focus on influenza. Shapes evidence generation across late-stage development, launch and post-marketing, leading US post-marketing vaccine effectiveness studies and complex external collaborations with academic and healthcare data partners.
Provides scientific and strategic leadership for real-world evidence supporting an mRNA vaccine portfolio, with a primary focus on influenza. Shapes evidence generation across late-stage development, launch and post-marketing phases, leading US post-marketing vaccine effectiveness studies and complex external collaborations with academic and healthcare data partners.
Leads the integrated real-world evidence and health outcomes strategy for mRNA influenza vaccines, designing and interpreting US post-marketing vaccine effectiveness studies across late-stage development, launch and post-marketing phases. Partners with clinical development, epidemiology, medical affairs, regulatory, biostatistics and market access teams, and builds collaborations with academic investigators, healthcare systems and data partners. Requires deep expertise in US vaccine effectiveness research, influenza epidemiology, real-world data and causal methods.
Founding leadership role accountable for defining the vision, strategy, operating model and governance of innovation across the Chief Medical Office, owning the innovation portfolio and its measurable business impact. Involves embedding AI-, data- and digital-enabled ways of working, chairing governance forums, and building a new team from three direct reports toward roughly 10–20 FTEs.
Provides operational leadership for diagnostic activities across GSK's Antibody Drug Conjugate portfolio, managing a team of Diagnostic Delivery Leads. Accountable for executing biomarker and diagnostic strategies, overseeing external testing partners, vendor selection and diagnostic milestones to support clinical development, regulatory submissions and diagnostic approvals, with drug-diagnostic co-development.
Lead statistical planning and delivery across oncology clinical programs, designing trials and analyses that shape development and regulatory strategy. Work with clinical, regulatory, safety, data science and commercial teams, using Bayesian methods and simulation in R or Python, while mentoring statisticians.
Lead complex oncology projects, designing and interpreting scientific and clinical strategies while guiding cross-functional teams on technical and regulatory matters. The role combines hands-on project leadership with mentoring colleagues and driving new methodologies, in a hybrid setup spanning London and Upper Providence.
