Senior Director, RWE Epidemiology Scientist, RSV, COVID/FLU & Pipeline Lead
Pfizer
Director, Real-World Biostatistics
GSK
full-time
Posted on:
Location Type: Hybrid
Location: Philadelphia • Massachusetts, Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
Python
About the role
- Lead and oversee the execution of real-world studies, ensuring methodological rigor, quality control, and regulatory adherence.
- Create and refine statistical analysis plans, conduct complex statistical analyses, and convey findings to internal and external stakeholders.
- Apply fit for purpose non-interventional statistical methods tailored to specific study objectives, ensuring robust data interpretation and insight generation.
- Understand RIIRU assets to apply appropriate tools (e.g. variable definitions, code lists) and data sources, and leverage hands on RWD expertise to guide the selection and appropriate use of complex health data sets, including experience authoring technical specification documents.
- Develop in-depth knowledge on assigned assets and act as senior-level RWB consultant on matrix teams.
- Mentor junior staff, guiding and developing their capabilities through mentorship, training, and professional growth opportunities while promoting knowledge sharing, continuous learning, and an innovative and collaborative environment.
- Lead statistical efforts for assigned projects, manage timelines, resources, quality control, and coordinate across departments (e.g. epidemiology, health economics and outcomes research, clinical).
- Engage in strategic communication within the organization and with external audiences presenting statistical analyses and insights clearly and effectively at conferences, in publications, and during key stakeholder meetings, reinforcing the value of biostatistical contributions.
- Stay informed on industry trends, incorporate emerging biostatistical methods to enhance study designs and analytics, and participate in methodological research for the development of analytical techniques.
- Provide biostatistical expertise on RWD during regulatory submissions, meeting preparations, and addressing queries to ensure alignment with regulatory standards while offering statistical guidance for organizational decision-making processes.
- Stay informed with guidance documents from regulators to industry on the use of RWD for regulatory decision-making.
Requirements
- Ph.D. in Statistics, Data Science, Epidemiology or related disciplines with 8+ years (or Masters plus 10+ years) of working within the pharmaceutical/biotech industry (preferably in real-world evidence, epidemiology, or health outcomes functional areas).
- Experience in working with drug development processes and strategies, utilizing innovative statistical skills to meet project and/or business objectives.
- Experience leading pharmacoepidemiology and/or health outcomes analytics using RWD (e.g. electronic health record; insurance claims; registries) and applying observational study design and biostatistical principles to clinical/epidemiological research.
- Experience in programming languages (e.g. R, Python) and applied experience with observational data.
- Experience in working according to regulatory requirements pertaining to RWD and clinical trials.
- Experience in managing projects, delivering results in matrixed environments.
- Experience in methodological research with contributions to publications in real-world data analytics.
- Preferred Qualifications:
- Experience in causal inference methodology such as propensity score based approaches, doubly-robust estimations including target maximum likelihood estimation (TMLE), principal stratification/instrumental variable approaches, methods for time-varying exposures.
- Experience in time-to-event analysis in the setting of non-randomized studies.
- Experience in machine learning.
Benefits
- US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical analysisbiostatisticsobservational study designcausal inference methodologytime-to-event analysismachine learningprogramming languagesRPythonmethodological research
Soft skills
mentorshipstrategic communicationcollaborationleadershipproject managementquality controlknowledge sharingcontinuous learningtraininginnovation
Certifications
Ph.D. in StatisticsPh.D. in Data SciencePh.D. in EpidemiologyMasters in related disciplines
