Statistical Data Scientist

• 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: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Medical

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