AI Acceleration Lead

GSK

Lead AI Acceleration within GSK's Development Operations, designing and delivering pilots to solve operational problems in clinical development. Engage users and partners to build evidence of AI value and drive enterprise adoption.

Posted 6/16/2026full-timeUpper Providence • Massachusetts, Pennsylvania • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact

support the AI-native Development Operations strategy through the design and delivery of AI pilots that address real operational problems in clinical development
work hands-on with clinical operations users, vendors, and enterprise partners to shape hypotheses, test solutions in practice, build evidence of value, and make clear recommendations on what should stop, iterate, or scale
help scale solutions from pilot to enterprise adoption and drive measurable impact to clinical development
Proactively identify AI opportunities across Development Operations by scanning workflows, engaging clinical operations teams, and spotting where AI can create meaningful value; translate real bottlenecks into clear pilot hypotheses and practical success criteria
Maintain an active outside-in view of emerging AI capabilities, workflow innovations, and evolving ways of working, and convert those signals into strategic recommendations, roadmap updates, and new opportunity areas
scope and run AI pilots end-to-end, including design, delivery approach, execution oversight, and recommendations on whether to stop, iterate, or scale
partner with vendors and enterprise technology teams to ensure pilots are robust, compliant, usable, and positioned to scale using shared foundations if successful
manage delivery risks, dependencies, and partner performance across active pilots to maintain momentum and execution quality
build proof-of-value cases using measures including time saved, quality improvement, user adoption, risk reduction, and readiness to scale
use AI-native development tools to run hands-on use-case testing alongside technology teams and business SMEs, validating feasibility and value before committing to full deployment
inform portfolio and investment decisions by identifying patterns across pilots, synthesising pilot findings, adoption data, and operational intelligence, and making evidence-based recommendations on what to prioritise, accelerate, reshape, or stop
drive adoption for priority AI-native capabilities, including workflow redesign, user readiness, and change interventions required for scaled deployment

Requirements

What you’ll need

Bachelor’s degree in Life Sciences, Engineering, Computer Science, Business, or a related field
4+ years of experience in Pharma strategy, applied AI/technology, transformation, or programme delivery roles
Experience in clinical operations and wider clinical development, gained in industry, consulting or other relevant settings
Experience solving ambiguous problems and turning analysis into action
Experience moving from problem definition through pilot design to clear recommendation, with ownership of delivery end-to-end
Experience working across users, partners, and cross-functional teams to deliver measurable outcomes in fast-moving, ambiguous environments
Experience with AI-native development tools, including frontier agentic development tools (e.g. Claude Code, Codex), and rapid prototyping practice

Benefits

Comp & perks

health care and other insurance benefits (for employee and family)
retirement benefits
paid holidays
vacation
paid caregiver/parental and medical leave

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI pilotsclinical developmentproblem definitionpilot designdelivery oversightworkflow redesignmeasurable outcomesrapid prototypingdata analysisevidence-based recommendations

Soft Skills

problem-solvingcommunicationcollaborationstrategic thinkingadaptabilityleadershipstakeholder managementcritical thinkingproject managementchange management