Lead the development and application of predictive computational models and agentic workflows to evaluate target biology, safety, and translatability in drug discovery. Integrate multimodal biological data and collaborate with cross-functional teams to inform go/no-go decisions. Design and execute hypothesis-driven experiments to validate mechanisms and advance robust, reproducible methods with direct patient impact.
The Director, Oncology Translational Medicine Project Manager, will lead project management for biomarker and diagnostic strategies across GSK’s global Oncology portfolio. Responsibilities include managing external alliances, regulatory submissions, and diagnostic target profiles, ensuring high-quality data and documentation support oncology asset development and approvals.
This role is responsible for the day-to-day operational management of Pfizer's InsightXplorer platform, a global Medical Insights system. The individual will oversee platform access, licensing, incident coordination, request intake and triage, and lead reporting on usage and delivery metrics. It requires strong organizational and cross-functional coordination skills to support a matrixed, global team and ensure consistent governance and performance across regions.
The role involves managing the day-to-day operations of the InsightXplorer platform, including access provisioning, request triage, and coordination with technical teams. It focuses on maintaining platform governance, reporting metrics, and ensuring smooth cross-regional collaboration within a global medical insights team. The position requires strong operational oversight and alignment across stakeholders to support scalable platform performance.
This role involves managing and coordinating translational research alliances and collaborations, regulatory submissions, and diagnostic target profiles for GSK's Oncology portfolio. The Director will oversee project plans, track milestones, manage risks, and ensure high-quality data packages are delivered to support oncology asset development and approvals.
This role involves managing and coordinating translational research alliances and collaborations, regulatory submissions, and diagnostic target profiles for GSK's Oncology portfolio. The Director will oversee external partnerships, track project milestones, and ensure high-quality data packages are delivered to support oncology asset development and approvals.
This role involves managing and overseeing translational research alliances, regulatory submissions, and diagnostic target profiles for GSK's Oncology portfolio. The Director will coordinate with internal and external stakeholders to ensure high-quality data and documentation, manage risks, and support the OTM Leadership Team.
This role involves leading the development and deployment of Lab-in-an-Automated-Loop (LIAL) systems, integrating computational intelligence with physical laboratory experimentation. Responsibilities include collaborating with cross-functional teams to design and implement integrated systems, driving innovation with AI and data automation, and mentoring early-career scientists.
This role involves designing and optimizing crystallization processes for active pharmaceutical ingredients (APIs) to enhance drug product performance. Responsibilities include conducting laboratory studies, analyzing data, and collaborating with multi-disciplinary teams to support the industrialization of manufacturing processes.
This role involves providing statistical leadership across oncology clinical development, from early-phase trials to regulatory submissions. The candidate will lead study design, analysis, and interpretation using advanced methods like Bayesian approaches and real-world data integration. They will collaborate with cross-functional teams to deliver robust statistical insights that inform key development decisions in a global biopharma environment.
This role involves leading and delivering high-impact biomarker and mechanism-of-action research to support clinical translation. Responsibilities include developing computational pipelines, interpreting complex datasets, and mentoring junior scientists. The position offers strong growth potential and the chance to shape scientific direction.
This role involves leading the development and deployment of Lab-in-an-Automated-Loop (LIAL) systems, integrating computational intelligence with physical laboratory experimentation. Responsibilities include collaborating with cross-functional teams to design and implement these systems, translating scientific requirements into technical solutions, and driving innovation through AI and data-driven methods.
This role involves designing and optimizing crystallization processes for active pharmaceutical ingredients (APIs) to enhance drug product performance. Responsibilities include conducting laboratory studies, analyzing data, and collaborating with multidisciplinary teams to support the industrialization of manufacturing processes.
Lead statistical strategy for oncology clinical development, from study design through regulatory submission, using advanced methods like Bayesian approaches and real-world data. Partner with cross-functional teams to deliver robust analyses and influence key decisions. Drive innovation in trial design and evidence generation within a global biopharma environment.
Lead statistical strategy across oncology clinical development, from early-phase trials to registration, using innovative methods like Bayesian modelling and real-world data. Design studies, guide regulatory submissions, and influence asset strategy within a matrix environment. Work closely with cross-functional teams to deliver robust statistical insights for key decision-making.
