Pfizer is a global leader in the pharmaceutical industry, committed to improving the health and well-being of people around the world. With a rich history of scientific innovation, Pfizer is dedicated to advancing treatments and therapies in various therapeutic areas. The company operates with a strong emphasis on quality, ethics, and delivering exceptional healthcare solutions. Pfizer fosters a diverse and inclusive work environment and is currently seeking a skilled Statistical Data Scientist to join their team in Mumbai, India.
Responsibilities in the Job:
As a Statistical Data Scientist at Pfizer, your primary responsibility will be to support the standards and study deliverables for clinical projects. Key responsibilities include:
- Programming Deliverables: Contribute up to 80% of your time to programming deliverables assigned within the scope of the function in either SAS, R, or Python.
- Dataset and TFL Development: Review, develop, and validate datasets and TFLs (Tables, Listings, and Figures) as per CDISC-aligned Pfizer Standards or Pfizer Data Standards for Study/Project/Portfolio.
- Standards Programming: Explore the existing code base, perform runs, and develop or modify code based on the needs and specifications suggested by the standards team.
- Documentation and QC: Ensure appropriate documentation and quality control across the lifespan of the study for all programming deliverables related to Standards, Programming, and Submissions.
- Collaboration and Stakeholder Engagement: Work closely with stakeholders to understand and review standard/study/project requirements, specifications, and programming needs.
- Safety and TA Standards: Possess knowledge in core safety standards and therapeutic area (TA) standards relevant to the project. Lead the development of standards necessary for the study.
- Problem Solving and Reporting: Demonstrate routine problem-solving skills and seek direction when appropriate. Regularly update leads on progress, time estimations, and planning to ensure smooth operations.
- Continuous Learning: Dedicate 20% of your time to self-learning, development, and growth, contributing to opportunities globally and locally.
Qualifications:
To be eligible for this role, candidates should have:
- A degree in Statistics, Mathematics, Computer Science, or a related field.
- Experience in statistical programming using SAS, R, or Python, preferably in a pharmaceutical or healthcare setting.
- Familiarity with CDISC standards, including SDTM, ADaM, and TFL generation.
- Strong knowledge of clinical trials, clinical data standards, and safety reporting.
- Experience in documenting and performing quality control checks across programming deliverables.
- Ability to collaborate with stakeholders and contribute to problem-solving initiatives.
Skills:
The ideal candidate will possess the following skills:
- Programming Languages: Proficiency in SAS, R, or Python for statistical programming.
- Data Standards Knowledge: Familiarity with CDISC standards (SDTM, ADaM) and other industry standards.
- Communication Skills: Ability to collaborate with cross-functional teams and communicate effectively with stakeholders.
- Analytical Thinking: Strong problem-solving skills with a keen eye for detail.
- Adaptability: Ability to learn quickly and adapt to new technologies, programming languages, and methodologies.
- Time Management: Capable of managing multiple tasks and ensuring timely delivery of work.
