Provide statistical leadership and technical support for Pfizer projects involving health economics and outcomes research (HEOR). This is a quantitative-based position with limited administrative responsibilities. The applicant will work with teams in multiple therapeutic areas. The emphasis will be on sound statistical applications to patient-focused drug development and health technology assessment (HTA). The applicant is expected to develop highly effective collaborations with relevant stakeholders including those in Patient Health & Impact, the Patient-Centered Outcomes Assessment Group, Statistics, Clinical Pharmacology, Clinical Development, Medical Affairs, Epidemiology, Programming, and other groups contributing to HEOR analysis and strategy. The applicant is also expected to be highly proficient in HEOR methodology and strategy.
The primary responsibility and effort for the position is statistics-specific collaboration focusing on health economics and patient-reported outcomes and other clinical outcome assessments in oncology, inflammation & immunology, and other therapeutic areas. Responsibility extends to methodological research to improve the design, conduct, analysis, and interpretation of studies. In addition, given that SRDC develops scientific collaborations to advance patient-centered development methodologies, the position may invite external publications and presentations (along with other professional activities).
The successful candidate will:
- Collaborate in the development and post-approval environment through consultation and implementation of statistical techniques related to HEOR based on state-of-the-art research.
- Enhance statistical expertise in value-based drug development among Pfizer HEOR scientists, statisticians, and clinicians through active engagement and leadership in research methodology and content-specific areas.
- Provide expert statistical support to HEOR leads in the design, analysis, reporting, and interpretation of clinical outcome assessments (patient-reported, clinician-rated observer-rated, and performance-based outcomes) and health economics in HEOR projects involving clinical trials and observational studies, includingthose in development supporting drug approval and reimbursement, HTA, as well as other post-approval activities, in order to inform decision-making and also to guide medical strategy and the scientific narrative through publications and external presentations.
- Partner with HEOR scientists, other HEOR statisticians, clinical statisticians, clinicians, statistical programmers, and others to develop and implement an effective plan to leverage HEOR data.
- Participate in HEOR regular meetings as needed and engage in proactive communications with project leads to better understand scientific and business needs.
- Provide computational and statistical advice on complex analytic issues supporting Pfizer's HEOR projects.
- Develop, implement, and promote methodologies based on state-of-the-science computing and statistical research and dissemination of the results both internally and externally.
- Provide a strong presence for Pfizer with HTA, regulatory and professional organizations to influence knowledge generation and content of regulatory guidelines to support the adaption of health economics and patient-reported and other clinical outcome assessments.
- Develop effective collaborations with relevant non-statistical researchers.
- Stay current with research on HEOR methodology and its applications pertinent to the Pfizer business needs.
- Be up-to-date on training and compliance with all Pfizer SOPs as required based on the assigned curriculum.
- Ph.D. in biostatistics or related discipline.
- A minimum of 7 years of experience with patient-reported outcomes, health economics, health technology assessment, and outcomes research methodology used in clinical trials and observational studies.
- Candidates with less work experience, or experience in other fields, will also be considered if they have exceptional methodology research credentials and potential.
- Experience with advanced knowledge of psychometrics, econometrics, and biometrics such as validation of health measurement scales, longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis, real-world data analysis, and conjoint analysis
- Proficient with subject matter content in at least one therapeutic area like oncology or inflammation
- Experience with different phases of drug development, from Phase 2 to Phase 4, and the associated regulatory and reimbursement involved
- Evidence of creative thought-leadership, professional presence, and scholarship through publications and presentations
- Effective verbal and written communication skills in relating to colleagues and associates both inside and outside the organization
- Broad-based understanding of statistical theory and its application
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