Posted on Apr 5, 2021 by Pfizer
Provide statistical leadership and technical support for Pfizer projects involving real world data (RWD). This is a quantitative-based position with limited administrative responsibilities.
The applicant will work with teams in multiple therapeutic areas.
The applicant will work with teams in many projects within a therapeutic area and will be the lead RWD statistician responsible for delivery of these projects.
The emphasis will be on analysis of RWD.
The applicant is expected to develop effective collaborations with relevant stakeholders including RWE COE leads, and scientists, health economics and outcomes research (HEOR) leads, clinicians, RWE statisticians, and statistical programmers regarding RWD analysis and strategy.
The primary responsibility and effort for the position is statistics-specific collaboration focusing on RWD analysis, with potential to expand to other types of data in oncology, inflammation & immunology, and other therapeutic areas.
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.
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:
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.
Take ownership of projects and liaise with team members as appropriate and may oversee the work of contractors.
Provide expert statistical support to RWE COE leads and scientists in the design, analysis, reporting, and interpretation of RWD and in HEOR projects involving observational studies, including those 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 RWD COE leads and scientists, other RWD statisticians, clinical statisticians, HEOR leads, clinicians, statistical programmers, and others to develop and implement an effective plan to leverage RWD.
Participate in TA specific Real-World Evidence (RWE) 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 RWD projects and be able to work in an autonomous manner.
Strong programming skills in SAS with an emphasis on analysis and reporting of RWD.
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 RWE.
Develop effective collaborations with relevant non-statistical researchers.
Stay current with research on RWD and observational data 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.
Candidate demonstrates a breadth of diverse leadership experiences 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 or related discipline. A minimum of 7 years of experience with RWD 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.
Demonstration of a breadth of leadership experiences 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.
Excellent oral and written communication skills
Experience with advanced inferential statistics (including and not limited to longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis), real-world data analysis 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.
Proficient with subject matter content in at least one therapeutic area like oncology or inflammation, internal medicine etc.
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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