Pfizer—Senior Statistical Data Scientist

Job description

Description: 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