Manager, Statistics

Role Summary

In this Manager, Statistics role at Pfizer, the statistician will partner with clinicians, clinical pharmacologists, translational medicine, and other scientists to support drug development in Pfizer's Internal Medicine unit. The position focuses on supporting the expanding cardiovascular and metabolic diseases portfolio, with involvement in the design, analysis, and reporting of clinical protocols spanning early and late development from first-in-human through phase 4 trials. Work location is Hybrid, with on-site presence averaging 2.5 days per week.

Responsibilities

• Design, plan, and execute biostatistical components for research and development projects.
• Use statistical expertise to prepare internal and external reports, presentations, and manuscripts, with the aim to improve the quality of internal decision making and increase our influence on the external environment.
• Provide input to the Statistics Group Lead and/or Therapeutic Area Statistics Head within Internal Medicine to plan support for assigned studies.
• Collaborate with various clinicians and clinical pharmacologists in the design, analysis and reporting of clinical experiments.
• Interact with internal and external experts to assure sound quantitative approaches are applied to collection and analysis of a wide variety of data types.
• Serve as a core member of scientific teams responsible for determining strategy and delivering results in a timely and high quality manner.
• Ensure that all study and project level statistical activities are conducted in compliance with relevant regulatory requirements and Pfizer standards.
• Participate in research on statistical methodology and its applications pertinent to Pfizer business needs.

Qualifications

• Required: MS in Statistics/Biostatistics or related field with 3+ years’ experience or PhD in Statistics/Biostatistics or related field.
• Required: Demonstrated ability to create computational tools for analysis and data visualization.
• Required: Statistical knowledge through coursework and/or demonstrated statistical application in general linear models, mixed models, causal inference, survival models and Bayesian approaches.
• Required: Experience using R or SAS.
• Required: Demonstrated ability to work effectively as a part of a team.
• Required: Ability to prepare both internal and external reports, presentations, and manuscripts.
• Required: Strong communication skills and the ability to explain statistical techniques to non-statisticians.
• Preferred: Relevant pharmaceutical industry experience.
• Preferred: Experience with AI/ML techniques in clinical trials.
• Preferred: Strong problem-solving skills and the ability to develop new options in non-standard situations.