Biotechnology Jobs in London

• London
• Director

Provides scientific and medical expertise at study level across early- and late-phase hepatology assets, serving as medical monitor for Phase 1–4 trials and leading protocol, IB, ICF and CSR authoring. Works within cross-functional global study teams and the Clinical Matrix Team, integrating efficacy, safety and biomarker data to inform asset and portfolio decisions, with informal coaching of less experienced clinical scientists.

• London
• On-site

Contributes to the design, execution, analysis and reporting of hepatology clinical studies across all development phases, working with clinical operations, biostatistics, data management and regulatory affairs. Reviews safety, efficacy, biomarker and PK/PD data, supports protocol and CSR development, and engages with investigators and sites. Based on-site in London or Waltham, MA.

• London
• Hybrid
• PLN 228,000 – PLN 380,000 pa

Designs disease data information models for priority discovery areas, writing mapping rules to harmonise biomedical data and building quality checks that keep models trustworthy. Works hands-on in code and modelling tools, using AI assistants daily, and partners with research, ontology and data platform teams to get models adopted.

NCI Thesaurus · MONDO · EFO +6

• London
• Mid-level

Mid-level individual contributor on GSK's Enterprise AI Forward Deployed Engineering team, embedded with business unit teams to prototype AI proofs of concept at a days-to-weeks cadence. Works under senior FDEs using AI coding assistants and multi-agent workflows as the default mode of building, then hands proven solutions off cleanly for productionisation.

Claude Code · GitHub Copilot · Databricks AI Assistant +3

• London
• Hybrid
• Director

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

• London
• Hybrid
• Lead

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.

• London

Hands-on role designing, building and maintaining modular end-to-end data-flows across GSK's R&D division, integrating diverse sources into reusable, machine-readable assets with compliance built into the pipeline. Combines technical delivery and coding with coaching and peer review to embed industry best practice, working in a complex matrix environment with varied stakeholders.

Azure · GCP

• London
• Director

Provides advanced scientific expertise in safety evaluation and risk management for key oncology assets in clinical development, leading signal detection, benefit-risk assessment and regulatory safety submissions. Represents the Safety Evaluation & Risk Management function on cross-functional clinical matrix and project teams, escalating emerging safety issues to senior governance. Mentors junior staff and partners with Safety Physicians to shape long-term safety strategy.

• London
• Hybrid · 2–3 days in office
• Senior

Sits within GSK's Chemical Manufacturing & Control function, shaping how AI transforms manufacturing sites worldwide. Runs day-to-day tech transfer engagement with sites and CMOs, sizes AI opportunities, defines target process, data and agent architecture, and drives agentification and recipe building for new products alongside forward deployed engineering pods.

MES · LIMS · ERP +6

• London
• Hybrid · 2–3 days in office
• Senior

Sits within GSK's CMC function, identifying and sizing AI opportunities across process development science for oligonucleotides, ADCs and monoclonal antibodies. Partners with forward deployed engineering pods to turn ambiguous business problems into scoped, buildable products, and shapes self-driving lab and in silico modelling initiatives.

AI Platforms · ML Platforms

• London
• Hybrid
• Lead · manages people

Senior operational lead for GSK's Global Supply Chain Digital & Technology function, acting as trusted advisor to the SVP. Owns strategic planning, portfolio governance, PMO orchestration, business operations, workforce planning, change leadership and communications, using AI and automation to drive simplification across a complex global matrix.

AI · Automation

• London
• Hybrid

Provides technical leadership for structuring, connecting and reusing product and process data across digital products and manufacturing systems, with a focus on the digital product profile. Builds and maintains CI/CD pipelines, integrations and environments spanning R&D, CMC and commercial platforms, applying ontologies, knowledge graphs and AI-assisted engineering under GxP and Responsible AI controls.

PDLM · MES · LES/LIMS +5

• London
• Hybrid
• Senior · manages people

Owns the product vision, roadmap and lifecycle for a Factory Integration Layer connecting manufacturing systems, operational technology, enterprise applications and data platforms. Works with sites, architects, engineers, Quality and Cyber Security to standardise reusable integration patterns, data contracts and observability across shop-floor, edge and cloud environments.

Factory Integration Layer · Cloud · Knowledge Graph +2

• London
• Hybrid · 2–3 days in office
• Senior

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

• London
• Hybrid · 2–3 days in office
• Senior

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