Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Associate Director, Real-World Data, Measurement, and Analytics

GSK
London
7 months ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director Data Science

Associate Director, AI Data Scientist

Senior Data Scientist (UK)

Senior Data Scientist (UK)

Job description
Site Name:USA - Pennsylvania - Upper Providence, Cambridge MA, GSK HQ, Philadelphia Walnut Street, USA - North Carolina - Durham
Posted Date:Mar 7 2025

Position Summary:

The Associate Director of Biostatistics for Real-World Data, Measurement, and Analytics (RWDMA) will be instrumental in driving real-world data (RWD) projects and initiatives. This role requires providing biostatistical expertise and supporting methodological innovation to enhance the development and commercialization of pharmaceutical products. Collaborating closely with stakeholders in R&D and Medical Affairs, the Associate Director will design and analyze RWD studies using cutting-edge biostatistical methodologies associated with causal inference and comparative effectiveness, digital measurement, clinical outcomes assessment, longitudinal and predictive modeling, and evidence synthesis.

Key Responsibilities:

Biostatistical and Methodologic Support:

  • Lead and oversee the execution of real-world studies, ensuring methodological rigor and regulatory adherence.

  • Create and refine statistical analysis plans, conduct complex statistical analyses, and convey findings to internal and external stakeholders.

  • Apply advanced statistical methods tailored to specific study objectives, ensuring robust data interpretation and insight generation.

  • Engage in strategic communication initiatives to effectively promote and disseminate biostatistical deliverables both within the organization and to external stakeholders.

  • Promote an innovative and collaborative environment that encourages knowledge transfer and continuous learning within the team.

Project Leadership and Collaboration:

  • Serve as the statistical leader on assigned projects, managing timelines, resources, and deliverables to meet project goals.

  • Collaborate effectively with clinical, RWD, regulatory, data management, and programming teams to ensure statistical strategies align with overarching project goals.

  • Provide statistical expertise in interactions with regulatory bodies, including meeting preparations, query responses, and submission support.

  • Act as a subject matter expert in statistical methodology, delivering insights and guidance to support organizational decision-making.

Methodological Development and Innovation:

  • Stay informed on industry trends and incorporate emerging biostatistical methods to enhance study designs and analytics.

  • Participate in methodological research, contributing to the development of analytical techniques and addressing statistical challenges.

Regulatory Support and Compliance:

  • Provide biostatistical expertise during regulatory submissions, meeting preparations, and addressing queries to ensure alignment with regulatory standards.

  • Contribute as a subject matter expert, offering statistical guidance for organizational decision-making processes.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

  • Ph.D. in Biostatistics, Statistics, Epidemiology or a related field with 6+ years’ experience in the pharmaceutical, biotechnology, or healthcare industry, focusing on real-world data analytics.

  • Experience in advanced biostatistical methods, including those associated with causal inference and comparative effectiveness, longitudinal and predictive modeling, precision medicine and evidence synthesis.

  • Experience with statistical programming languages (e.g., R, Python) and applied experience with observational data.

  • Experience with regulatory requirements for clinical trials and real-world data analysis.

  • Previous leadership in managing or leading statistical projects, delivering high-quality results in a dynamic environment.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

  • Experience in methodological research with contributions to publications in real-world data analytics.

  • Experience using artificial intelligence and machine learning methods in real-world data applications.

  • Excellent communication skills, with the ability to effectively convey complex statistical concepts to a variety of stakeholders.

Please visit GSK US Benefits Summaryto learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website athttps://openpaymentsdata.cms.gov/

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.