Why Patients Need You

Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. You will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.

ROLE SUMMARY

Pharmaceutical Sciences Small Molecules (PSSM) develops the active pharmaceutical ingredients (APIs), and the formulations & manufacturing processes needed to transform laboratory candidates into potential new drugs. PSSM is Making Today's Discoveries Tomorrow's Medicines.

• As an integral part of project teams, you will collaborate with the science and technology lines within Pharmaceutical Sciences supporting drug product manufacturing processes, analytical method development and regulatory activities.
• Demonstrate initiative to solve problems in pharmaceutical research by influencing collaborators and improving methods and workflows while ensuring sound statistical thinking, techniques, and predictive models are employed.
• Display excellent communication skills and the ability to convey results clearly and concisely to the project team to aid the decision-making process. Use statistical and business acumen to prepare both internal and external reports, presentations, and manuscripts.
• Ensure that all statistical activities are conducted in compliance with relevant regulatory requirements and Pfizer standards.
• Pursue business-related research interests and represent Pfizer externally.

• MSc in Statistics or related field, typically candidates have at least two years' statistical consulting experience, or a PhD in Statistics or related field with some demonstrated statistical consulting experience.
• Statistical knowledge through coursework and/or demonstrated statistical applications in descriptive, inferential statistics, and applied linear models, e.g., experimental designs and regression models. Experience may include one or more of the following: linear and/or non-linear mixed models, multivariate methods, or quality control methods.

• Sound computational skills: R, SAS, S+, Minitab, or equivalent
• Exceptional oral and written communication skills in explaining complex statistics to the non-statistician in the context of experimental objectives.
• Good team player with demonstrated ability to build effective working relationships within and across sites with customers and partners.
• The aptitude to identify and understand relevant scientific literature and apply knowledge gained from these sources.

• Significant coursework in a scientific discipline (chemistry, computing, engineering).
• Prior experience working in pharmaceutical research and development.
• Proven track record of integrating statistical techniques and solutions into pharmaceutical engineering applications to achieve business results.
• Statistical experience in a regulated scientific environment, knowledge of ICH guidance, or pharmacopoeia monographs.