Senior Statistical Data Scientist

The role is/includes

An Individual Contributor role

Productive hands on programming, supporting deliverables in the study/project/portfolio/standards team, of medium – high complex statistical programming deliverables to support assets and study teams

• Performs tasks with limited supervision early in role and independently later in role.
• Is capable of handling standards/study programming specific activities independently including collaboration across stakeholders at various timezones
• Ensures adherence to high quality programming standards in their daily work
• Ensure the tasks are completed on time with quality and are compliant to the process at Pfizer with needed guidance.
• Work collaboratively with study teams and stakeholders such as clinicians and statisticians on milestones and deliverables.
• Active self-learning and delivering on solutions in the space of statistical programming and data standards
• Contribute to SDSA initiatives globally and locally.
• Accountable for their assigned work supporting the standards/study deliverables

Contributes to upto 80% of their time to programming deliverables assigned within the scope of the function in either SAS, R or Python and 20% to self learning, development and growth.

Review/Develop/Validate datasets, TFL as per CDISC aligned Pfizer Standards or Pfizer Data Standards for Study/Project/Portfolio (TA or Study Programming)

Explore the existing code base and execute/perform runs as required, also develop/modify as per the needs and specifications suggested to the standards team as appropriate – (Standards Programming)

Ensures appropriate documentation and QC across the lifespan of the study for all of their programming deliverables across Standards, Programming and Submissions.

Understand/Develop/Review standard/study/project/portfolio requirements, specifications to gain deeper understanding of expectations and programming requirements, by collaborating with stakeholders.

• Knowledgeable in core safety standards as well as TA standards pertinent to their project and lead development of standards necessary for their study
• Exhibits routine and occasionally complex problem solving skills, seeking direction when appropriate.
• Regularly update leads on progress and time estimations to ensure smooth daily operations and accurate planning
• Advances job knowledge to next level by participating/contributing in/to opportunities both globally and locally.
• Work Location Assignment: Flexible
• Work Location Assignment: Hybrid
• Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
• To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
• Medical