Associate Director – Real World Biostatistics

🔥 2 minutes ago

🌐 United States, United Kingdom – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $141.8k - $236.3k / year

⏰ Full Time

🟠 Senior

👔 Director

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GSK

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

💊 Pharmaceuticals

🏥 Healthcare

Manufacturing • Pharmaceuticals • Healthcare

GSK is a global healthcare company focused on uniting science, technology, and talent to advance pharmaceutical products and vaccines. With a commitment to innovation, GSK aims to provide solutions that help manage and prevent diseases, improving health outcomes for patients worldwide.

📋 Description

• Lead statistical design and analysis for real-world evidence studies using large healthcare data sets • Translate stakeholder questions into study protocols and statistical analysis plans addressing bias and study limitations • Manage study execution, including timelines, budgets, quality control, and vendor coordination • Develop and review analytic code using R or SAS, ensuring reproducibility and quality • Communicate results to internal teams and external audiences, supporting publications and payer dossiers • Mentor junior biostatisticians and contribute to best practices across evidence generation teams • Advise on and apply advanced biostatistical methods and AI tools to real-world data • Generate real-world evidence to inform trial design, regulatory submissions, reimbursement, and safety signals • Collaborate with medical affairs, epidemiology, health economics, market access, and external partners

🎯 Requirements

• Master’s degree or PhD in biostatistics, epidemiology, statistics, data science, or related quantitative field • Minimum of 5 years of experience applying biostatistics to real-world data, pharmacoepidemiology, or health outcomes research • Practical experience with R and/or SAS and reproducible analysis workflows • Experience with large US real-world data sources such as insurance claims, electronic health records, or registries • Prior pharmaceutical or biotech industry experience supporting access, reimbursement, or regulatory decisions • Track record of peer-reviewed publications, conference presentations, or contributions to methodological guidelines • Familiarity with advanced causal inference methods, propensity score techniques, or longitudinal modeling • Strong knowledge of observational study design, causal inference methods, and methods to address bias • Experience mentoring and developing junior biostatisticians or early career scientists • Experience working in matrix environments with cross-functional teams and managing vendors • Excellent written and verbal communication skills, able to explain technical results to non-technical audiences

🏖️ Benefits

• Competitive salary • Annual bonus based on company performance • Healthcare and wellbeing programs • Pension plan membership • Shares and savings programme • Remote or hybrid working model through Performance with Choice • Health care and other insurance benefits for employee and family • Retirement benefits • Paid holidays • Vacation • Paid caregiver/parental and medical leave • Share-based long-term incentive program eligibility • Career growth opportunities

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