422 jobs for “Professional Services”
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.
R · Python
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.
GSK · 10000+ people · Public
Leads the design and execution of clinical biomarker and translational medicine strategies for late-stage oncology assets, defining predictive biomarkers, patient segmentation and go/no-go decision criteria. Represents Translational Medicine on Clinical Matrix Teams and works across diagnostics, data sciences and external partners to validate assays and deliver biomarker data packages.
NGS · FISH · PCR +5
GSK · 10000+ people · Public
Leads the design and execution of clinical biomarker and translational medicine strategies for late-stage oncology assets, defining patient segmentation and decision criteria within Clinical Matrix Teams. Oversees biomarker assay development, sample testing plans and data packages across platforms such as NGS, IHC, flow cytometry and ctDNA, working with internal and external partners.
IHC/IF · Liquid Biopsy · ctDNA +3
Leads the design and delivery of health economics and outcomes research evidence for a portfolio of HIV treatment and prevention medicines, spanning real-world evidence, clinical outcome assessments, evidence synthesis and economic modelling. Shapes integrated value evidence strategies with R&D, medical affairs, market access and external payers/HTA bodies, and sets patient-centred outcomes strategy across the portfolio.
GSK · 10000+ people · Public
Embedded with Chemical Manufacturing & Control teams, you take high-priority use cases from problem framing to working prototypes at days-to-weeks cadence, then hand proven solutions to a Solutions Engineer for scale-up. Work is AI-augmented: agent frameworks, multi-agent orchestration, MCP, and AI coding assistants are the default mode of building, turning manual lab and process workflows into agentic automation.
Claude Code · GitHub Copilot · Databricks AI Assistant +3
Individual-contributor alliance lead owning the relationship with an established central laboratory partner, balancing strategic direction with day-to-day governance and delivery oversight. Embeds a new operating model, monitors KPIs and study delivery, resolves escalations, and uses AI tools such as Claude to analyse large datasets and drive continuous improvement.
Claude
GSK · 10000+ people · Public
Embedded with Chemical Manufacturing & Control teams, you take high-priority use cases from problem framing to working prototypes at days-to-weeks cadence, then ship first production versions. Work is AI-augmented: agent frameworks, multi-agent orchestration, MCP and AI coding assistants handle routine coding while you supply judgement and validation, coaching BU engineers along the way.
Claude Code · GitHub Copilot · Databricks AI Assistant +3
GSK · 10000+ people · Public
Embedded with chemical manufacturing and control teams, you take high-priority AI use cases from problem framing to working prototype at days-to-weeks cadence, then hand proven solutions to a solutions engineer for scale-up. The work centres on Physical AI: self-driving labs, lab automation and robotics, digital-to-physical orchestration, and simulating manufacturing lines and tech transfers in NVIDIA Omniverse and Isaac Sim. AI coding agents handle much of the routine coding, leaving you to frame problems, apply judgement and validate results.
NVIDIA Omniverse · Isaac Sim · Nemotron +7
GSK · 10000+ people · Public
Embedded with chemical manufacturing teams, you take high-priority AI use cases from problem framing to working prototype at days-to-weeks cadence, then hand proven solutions to a solutions engineer for scale-up. The work centres on Physical AI: self-driving labs, lab automation, robotics and instrument integration, plus simulation of manufacturing lines and tech transfers using NVIDIA Omniverse and Isaac Sim. AI coding agents handle routine development, leaving you to focus on judgement, validation and coaching business-unit engineers.
NVIDIA Omniverse · Isaac Sim · Nemotron +7
GSK · 10000+ people · Public
Embedded with chemical manufacturing teams, you take AI use cases from problem framing to working prototypes at days-to-weeks cadence, building in-silico process models, digital twins and optimization solutions. Work is AI-augmented, with coding agents handling routine development while you supply judgement, validation and model identification. Proven solutions are packaged for handoff to a solutions engineer for scale-up.
Claude Code · GitHub Copilot · Databricks AI Assistant +6
GSK · 10000+ people · Public
Leads the global development of a medicine from clinical Proof of Concept to approval in first major markets, acting as single point of accountability. Builds and directs a matrixed Medicine Development Team spanning clinical, medical, commercial and manufacturing, driving strategy, governance and go/no-go decisions. Hybrid role with at least two days on-site per week.
GSK · 10000+ people · Public
Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late pre-candidate selection through life cycle management. Conducts population PK, exposure-response and simulation-based trial design work across small molecules, biologics and antibody drug conjugates, applying AI/ML and quantitative systems pharmacology methods. Presents and defends modelling outcomes to governance boards and regulators, and contributes to protocols, analysis plans and submissions.
NONMEM · R
Leads Quantitative Systems Pharmacology and QST modelling within GSK's Clinical Pharmacology and Quantitative Medicine group, building mechanistic mathematical models of disease, drug action and trial design. Defines clinical pharmacology strategy across the Respiratory, Immunology and Inflammation portfolio, working with biologists, clinicians, statisticians and AI/ML colleagues. The role sits in a newly formed Centre of Excellence for Model-Informed Drug Development, initially in Stevenage with a planned move to Cambridge.
Leads quantitative systems pharmacology and QST modelling within a clinical pharmacology and quantitative medicine group, building mechanistic models of disease and drug action and running simulations to inform trial design. Defines and coordinates MIDD strategies across respiratory, immunology and inflammation programmes, working with biologists, clinicians, pharmacometricians and statisticians. Combines inverse-problem modelling, scientific ML and statistical methods to support decisions from exploratory research through clinical development.
