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Senior Manager, Statistics

Posted on Apr 6, 2021 by Pfizer

New York, NY 10001
Research
Immediate Start
Annual Salary
Full-Time


ROLE SUMMARY
Provide scientific leadership and technical support for Pfizer clinical projects involving real-world data (RWD). This is a science-based position with limited administrative responsibilities.
The applicant will work with teams in many projects within a therapeutic area. The emphasis will be on analysis of RWD. The applicant is expected to develop effective collaborations with relevant stakeholders including health economics and outcomes research (HEOR), clinicians, RWE statisticians, and statistical programmers regarding RWD analysis and strategy.
The primary responsibility and effort for the position is project specific collaboration focusing on RWD analysis, with potential to expand to other types of data. There is also opportunity for longer-term methodological research to improve observational study design and analysis, training and external activities. External publications, presentations, and other professional activities are supported.
The successful candidate will:
Increase expertise amongst Pfizer statisticians and scientists through dissemination of new RWD analysis and modern analytic methodologies and training on software to implement these approaches.
Collaborate with development teams by the development and implementation of techniques based on state-of-the-art research.
ROLE RESPONSIBILITIES
Provide statistical support in the design, analysis, reporting and interpretation of RWD, as well as clinical and other data, including the statistical interpretation of published or internally generated results in order to inform decision-making.
Work with RWD Analysts, HEOR colleagues, clinicians, clinical statisticians, and statistical programmers to develop RWD analysis plan.
Participate in relevant internal meetings and engage in proactive communications with project teams to better understand scientific and business needs.
Provide computational and statistical advice on complex RWD analysis problems supporting Pfizer projects.
Strong programming skills in SAS with an emphasis on analysis and reporting of RWD
Develop, implement and promote methodologies based on state-of-the-art computing research and dissemination of the results both internally and externally.
Provide a strong presence for Pfizer with regulatory, HTA and professional organizations to influence knowledge generation and content of regulatory guidelines to support use of RWD and analysis methods.
Develop effective collaborations with relevant non-statistical researchers.
Stay current with research on RWD 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.
BASIC QUALIFICATIONS
Candidate demonstrates a breadth of experience in working in a cross-functional team and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Ph.D. in biostatistics, data science, or related disciplines, A minimum of 3 years of experience in RWD and clinical trial analysis and reporting. Candidates with less work experience, or experience in other fields, will also be considered if they have exceptional methodology research credentials and potential.
PREFERRED QUALIFICATIONS
Experience with advanced inferential statistics and modern analytic methods such as propensity scores, regularized generalized linear models, random forest, and related techniques to analyze RWD
Demonstrated understanding of RWD and observational study design and analysis
Familiarity with drug development processes
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




Reference: 1152693975

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