GSK · 6 hours ago
Associate Director, Decision Science for Clinical Operations
GSK is a global biopharma company focused on uniting science, technology, and talent to improve health. The Associate Director of Decision Science for Clinical Operations will lead the integration of sophisticated analytics into Global Clinical Operations, driving decision quality and enhancing the efficiency of clinical trials.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Partner with GCO’s Decision Analytics team to lead high-stakes strategic discussions with clinical development leadership to frame complex business problems, develop differentiated options, and define clear analytical pathways
Synthesize diverse evidence, including empirical data and expert judgment, to construct cohesive decision models that guide strategy
Influence key investment and operational decisions by translating complex model outputs into compelling narratives and actionable recommendations for executive audiences
Implement advanced decision models to quantify risk and identify value-add opportunities in study timelines and resource allocation
Deliver robust predictive models for critical operational challenges, including patient recruitment, site performance, and milestone attainment, to create value optimal and risk-aware delivery strategies
Identify and champion non-obvious value-add opportunities by applying innovative analytical approaches to complex clinical operations challenges
Drive the design and deployment of scalable analytics solutions, including production-ready models, automated monitoring systems, and real-time data pipelines
Champion best-in-class DevOps practices, including version control (Git), CI/CD pipelines, and automated testing to ensure robust, reproducible, and scalable solutions
Train and mentor colleagues on the use of tools, methods, and structured decision frameworks to build organizational capability
Qualification
Required
PhD (preferred) in a quantitative field (e.g., Data Science, Statistics, Computer Science, Operations Research, Decision Analysis) or MSc with equivalent experience in the pharmaceutical or biotech industry
Proven expertise designing and building flexible decision models (e.g., Monte Carlo simulation, Bayesian analysis, scenario planning, sensitivity analysis) to quantify risk and value trade-offs
Expertise in Python or R with the ability to adapt models
Knowledge of the drug development lifecycle and Clinical Operations workflows
Track record of leading and mentoring technical teams to deliver data science solutions with measurable business impact
Exceptional communication and influencing skills, with the ability to distill complex analyses into compelling recommendations for senior leadership in a matrix environment
Preferred
Hands-on experience with DevOps best practices, including Git, CI/CD, and testing
Therapeutic area depth, including knowledge of clinical development and trial design
Direct Clinical Operations experience
Decision Analysis or Management Consulting experience focused on pharmaceutical strategy or operations
Expertise in advanced methods such as Bayesian statistics, machine learning, and enrollment simulation
Benefits
Competitive salary
Annual bonus based on company performance
Healthcare and wellbeing programmes
Pension plan membership
Shares and savings programme
Company
GSK
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia
H1B Sponsorship
GSK has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)
Funding
Current Stage
Public CompanyTotal Funding
$25.51MKey Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO
Recent News
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South China Morning Post
2026-01-08
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