Associate Director, Biostatistics

Job Location s

• United States - Pennsylvania - Collegeville
• United States - New York - New York City
• United States - Massachusetts - Cambridge
• United States - Connecticut - Groton

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life-changing medicines to the world.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

The A
ssociate
Director, Oncology Biometrics is a skilled biostatistician who can work independently as the study statistician for Phase 1-2 studies and under the direction of a Director of Biostatistics, or above, as the study statistician for Phase 3 studies. The person in this role:

• Is an individual contributor role who specializes in creating clinical study designs, performing data analysis, providing data interpretation, and contributing to clinical publication and regulatory submissions.
• Provides statistical input to study designs and can contribute to departmental or cross-functional initiatives to enhance business processes and improve efficiency.

JOB RESPONSIBILITIES

• Serve as a study statistician for assigned clinical studies related to one or more clinical programs.
• Provide statistically sound experimental design and data analysis strategies to meet project objectives with high quality in a timely manner.
• Provide statistical inputs on clinical development plans.
• Contribute to the development of clinical study protocols and author the statistical sections.
• Develop statistical analysis plans and work with programming to create table, listing and figure shells for clinical trials or ad-hoc analyses.
• Develop study randomization specification and verification documents as necessary.
• Perform sample size calculations and assess trial design operating characteristics under various assumptions. Advise the team on the most efficient design to meet study objectives.
• Review CRFs and edit checks and participate in UAT of different systems.
• Review dataset programming specifications, key derived variables, and statistical deliverables.
• Independently derive from source data key efficacy variables and analyses.
• Perform the analyses of clinical trial data, provide statistical interpretation of results, and collaborate on the reporting of clinical trial results to regulatory authorities and the scientific community by contributing to the clinical study reports, clinical publications, conference posters and presentations.
• Review and contribute to study and project timeline and provide high quality statistical deliverables in a timely manner.
• Provide statistical leadership in clinical study team setting.
• May independently present at department, project team, or Sr. Management meetings.
• May lead inter-department projects involving other contributors.

MINIMUM QUALIFICATIONS

• Demonstrated high aptitude (considered a subject matter expert internally) in key areas of responsibility, typically with a Ph.D. in Statistics, Biostatistics or related field with 5+ years of experience, or a master’s degree with 7+ years of experience in clinical trials.
• High aptitude in: FDA/EMA and other regulations; CDISC standards and implementation guides;
  Statistical methods and applications to clinical trial design and data analysis;
  Programming skills in R and/or SAS;
  Company SOPs and business practices.
• Demonstrated ability to:
  Develop and deliver multi-mode communications;
  Manage multiple projects;
  Take on new opportunities and tough challenges with urgency;
  Consistently achieve results;
  Adapt approach to shifting demands;
  Build partnerships and work collaboratively;
  Make sense of complex information;
  Plan and prioritize work.

PREFERRED QUALIFICATIONS

• Oncology experience
• Strong statistical research and simulation skills and experience
• Demonstr…