Principal Statistician - Real World Analytics

Accountabilities:: Provide statistical expertise and input into the design and development of observational studies and clinical trials. Author and review statistical analysis plans, analysis dataset specifications, and tables, listings, and figures (TFL) shells. Provide statistical support for Phase 4 non-interventional and real-world evidence studies. Collaborate with programming and cross-functional teams to develop case report forms, validate datasets, and review analytical results. Conduct statistical programming and analysis for Medical Affairs and real-world evidence studies using appropriate methodologies. Apply advanced statistical approaches, including propensity score methods, causal inference, mixed-effects models for repeated measures, and machine learning techniques. Support the interpretation and communication of study findings through abstracts, posters, manuscripts, and other scientific deliverables. Contribute statistical expertise throughout the study lifecycle, ensuring analyses are scientifically sound, appropriately documented, and aligned with study objectives. Requirements: PhD or Master's degree in Biostatistics, Statistics, or a closely related quantitative discipline. Pharmaceutical industry experience providing statistical input into study design, analysis, and reporting for interventional and observational studies. At least 4 years of experience working on Phase 4 studies, Medical Affairs studies, Real World Evidence (RWE), or Health Economics and Outcomes Research (HEOR) studies. At least 4 years of hands-on experience with statistical programming and analysis using SAS and R. At least 4 years of experience working with SDTM and ADaM data standards. At least 4 years of experience with Real World Data (RWD) and RWE methodologies, including propensity score analysis and causal inference. At least 4 years of experience applying advanced statistical models, such as mixed-effects approaches for repeated measures and machine learning methods. Strong understanding of clinical research, observational study methodologies, and pharmaceutical development processes. Strong analytical, problem-solving, communication, and cross-functional collaboration skills. Ability to translate complex statistical concepts and findings into clear, scientifically rigorous deliverables. Benefits: Remote work opportunity. Opportunity to contribute to real-world evidence and Medical Affairs research within the pharmaceutical industry. Exposure to Phase 4, observational, and clinical research programs. Opportunity to apply advanced statistical methodologies, including causal inference, mixed-effects models, and machine learning. Collaboration with statistical programmers and multidisciplinary research teams. Opportunity to contribute to scientific publications, abstracts, posters, and manuscripts. Senior-level exposure to the full lifecycle of real-world analytics and evidence-generation projects.