Senior Director, Data Science Innovation Lead

WISE Campaign; Greater London; On-site; GBP 156,000 - 262,000; Full time

Job summary

A leading global healthcare organization seeks a Senior Director, Data Science Innovation Lead to pioneer transformative data solutions. The candidate will lead Data Science initiatives aligned with drug development while fostering innovation within the team. Significant experience in healthcare is required, alongside strong qualifications in data science and programming. This role offers a competitive salary range of $207,075 to $345,125 and includes various benefits.

Benefits

Annual bonus

Long-term incentive program

Health care benefits

Retirement plans

Qualifications

• 15+ years in healthcare and life sciences with exposure to pharmaceutical/medical device industries.
• 10+ years in clinical development or RWE generation within regulated environments.
• Demonstrated success in deploying DataOps, ModelOps or MLOps pipelines on cloud platforms.

Responsibilities

• Align RWDMA Data Science initiatives with drug development goals.
• Lead Data Science teams collaborating with various specialists.
• Design customized Data Science models for multiple applications.

Skills

Statistical modelling

AI and machine-learning techniques

Programming skills in Python

Proficiency in generative AI

Expertise in cloud platforms

Education

PhD in Data Science

Tools

Python

TensorFlow

PyTorch

Docker

Job description

Senior Director, Data Science Innovation Lead

Location: USA - Massachusetts - Waltham, GSK HQ

Posted: Dec 1, 2025

Job Overview

The Senior Director Data Science Innovation Lead will pioneer transformative solutions in real‑world evidence generation within the Real‑World Data, Measurement, and Analytics (RWDMA) organization, supporting the entire drug development life cycle. Leveraging multimodal AI, generative AI, knowledge graphs, causal AI and agentic AI, the Lead will develop and optimize statistical methodologies for comparative effectiveness, precision medicine, predictive modelling, and evidence synthesis, while advancing AI‑driven automation tools to accelerate development timelines and ensure regulatory compliance.

Key Responsibilities

• Align RWDMA Data Science initiatives with drug development goals, regulatory requirements, and payer expectations.
• Lead Data Science teams across the matrix organization, collaborating with biostatisticians, clinicians, subject‑matter experts and regulatory specialists to embed Data Science into RWD workflows.
• Design customized Data Science models for Comparative Effectiveness, Precision Medicine, Predictive Modelling and Evidence Synthesis applications.
• Automate coding, clinical coding, patient identification and quality‑control processes using AI‑driven anomaly detection and pattern recognition.
• Develop natural‑language processing tools to automate the creation, review and validation of analytic plans and protocols, ensuring regulatory and payer compliance.
• Build AI systems to streamline administrative tasks and assess analytic consistency with market‑access requirements.
• Assess data‑needs gaps and inform data strategy in alignment with DDF and D3 initiatives.
• Collaborate to optimize RWD storage, management and access control, enhancing analytical workflows.
• Provide technical leadership on the use of synthetic data in RWD and drug development.
• Mentor team members, fostering innovation and technical excellence across real‑world biostatistics, digital measurement and related areas.
• Spearhead methodological innovation and professional growth opportunities for junior RWDMA staff.
• Develop and manage external engagement strategies with academic partners and key opinion leaders.
• Present Data Science analyses and insights at conferences, publications and stakeholder meetings.

Qualifications

• PhD in Data Science, Biostatistics, Computer Science, or a related field.
• 15+ years in healthcare and life sciences with significant exposure to pharmaceutical and/or medical device industries.
• 10+ years in clinical development or RWE generation within regulated environments, including leadership of Data Science projects.
• Demonstrated success in deploying DataOps, ModelOps or MLOps pipelines on cloud platforms (Azure, AWS).
• Expertise in statistical modelling, AI and machine‑learning techniques such as CNNs, RNNs and Transformers.
• Proficiency in generative AI (LLMs, RAG, GANs, VAEs, diffusion models) and related technical stacks (LangChain, LlamaIndex, CrewAI).
• Strong programming skills in Python, R, TensorFlow, PyTorch, containerization (Docker) and version control (GitHub).
• Familiarity with multi‑domain real‑world data: clinical records, imaging, genomics, wearables and unstructured text.
• Proven track record of innovation in Data Science applications for healthcare (publications, patents, industry recognition).
• Experience navigating ethical, privacy and regulatory challenges in AI‑driven healthcare solutions.

Compensation & Benefits

Annual base salary ranges from $207,075 to $345,125, varying by location.

Includes an annual bonus and eligibility for a long‑term incentive program.

Benefits include health care, retirement plans, paid holidays, vacation, caregiver/parental and medical leave.

EEO Statement

GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.