Associate Director – Real World Biostatistics

This is a fully remote position, open to applicants in United States, +2 more locations.

📋 Description

• Oversee the statistical design and analysis of real-world evidence studies utilizing extensive healthcare datasets.

• Convert stakeholder inquiries into comprehensive study protocols and statistical analysis plans that address biases and limitations of the study.

• Direct the execution of studies, managing timelines, budgets, quality control, and coordination with vendors.

• Create and assess analytical code using R or SAS, ensuring reproducibility and maintaining high-quality standards.

• Present findings to internal teams and external stakeholders, aiding in publications and payer submissions.

• Guide junior biostatisticians and promote best practices within evidence generation teams.

• Provide expertise on and implement advanced biostatistical methods and AI tools for real-world data analysis.

• Produce real-world evidence to support trial design, regulatory submissions, reimbursement strategies, and safety assessments.

• Work collaboratively with medical affairs, epidemiology, health economics, market access teams, and external partners.

⛳️ Requirements

• A Master’s degree or PhD in biostatistics, epidemiology, statistics, data science, or a related quantitative discipline.

• At least 5 years of experience in applying biostatistics to real-world data, pharmacoepidemiology, or health outcomes research.

• Hands-on experience with R and/or SAS, along with reproducible analysis workflows.

• Familiarity with large US real-world data sources, including insurance claims, electronic health records, or registries.

• Previous experience in the pharmaceutical or biotech sector, impacting access, reimbursement, or regulatory decisions.

• A proven history of peer-reviewed publications, conference presentations, or contributions to methodological guidelines.

• Knowledge of advanced causal inference methods, propensity score techniques, or longitudinal modeling is essential.

• Strong understanding of observational study design, causal inference methods, and techniques to mitigate bias.

• Experience mentoring and developing junior biostatisticians or early-career scientists is preferred.

• Proven ability to work in matrix environments with cross-functional teams and oversee vendor management.

• Exceptional written and verbal communication skills, capable of conveying 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 program

• Remote or hybrid working model through Performance with Choice

• Health care and other insurance benefits for employees and their families

• Retirement benefits

• Paid holidays

• Vacation

• Paid caregiver/parental and medical leave

• Eligibility for share-based long-term incentive programs

• Opportunities for career growth