Pfizer, a global leader in biopharmaceuticals, is seeking an Associate, Statistical Data Scientist to join its dynamic team in Chennai. This is a hybrid role that offers an exciting opportunity to contribute to groundbreaking clinical trials and data-driven healthcare solutions. If you have a passion for programming, data analysis, and clinical research, this role is perfect for you.
Key Responsibilities:
- Programming & Data Analysis:
- Spend over 80% of your time developing and validating datasets, tables, figures, and listings (TFL) using SAS, R, or Python.
- Ensure deliverables align with CDISC and Pfizer Data Standards for studies, projects, or portfolios.
- Standards & Quality Control:
- Explore and modify existing codebases to meet study/project specifications.
- Contribute to the development of QC and validation plans for standards, programming, and submissions.
- Collaboration & Documentation:
- Work closely with senior programmers and leads to ensure clear specifications for deliverables.
- Maintain accurate documentation for all assigned tasks.
- Continuous Learning:
- Stay updated with industry trends and advance your skills by participating in global and local opportunities.
About Pfizer
Pfizer is a leading biopharmaceutical company dedicated to discovering, developing, and providing innovative healthcare solutions. With a mission to improve lives worldwide, Pfizer operates in over 125 countries and is committed to equality, diversity, and inclusion.
Why Join Pfizer?
- Work on cutting-edge clinical trials and data science projects.
- Be part of a globally recognized organization with a strong commitment to employee growth.
- Enjoy a hybrid work model that offers flexibility and work-life balance.
Qualifications
- Education: Bachelor’s or Master’s degree (preferred) in Statistics, Computer Science, Engineering, Pharmacy, Biological Sciences, IT, or a related field.
- Experience: At least 2 years of relevant experience in SAS or R programming and a working knowledge of clinical trials.
- Skills:
- Proficiency in SAS, R, or Python.
- Strong understanding of CDISC standards and clinical data analysis.
- Excellent communication and collaboration skills.
