- An Individual Contributor role
- Includes hands on programming, supporting deliverables in the study/project/portfolio/standards team, of less or medium complex statistical programming deliverables
- Mentored/Guided by Senior team members within Standards/Study/Project/Portfolio/TA's
- Collaborate with Senior Programmers/Leads and complete the assigned tasks
- Ensures adherence to 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.
ROLE RESPONSIBILITIES
- Accountable for their assigned work supporting the standards/study deliverables
- Contributes to over 80% of their time to programming deliverables assigned within the scope of the function in either SAS, R or Python.
- 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)
- Understand standard/study/project/portfolio requirements, specifications to gain deeper understanding of expectations and programming requirements.
- Ensures appropriate documentation are completed for their deliverables with help of senior programmers
- 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.
- Support in accomplishing department and organization mission by completing assigned tasks
QUALIFICATIONS
- Bachelor or Master (preferred) Degree in Statistics, Computer Sciences, Engineering, Pharmacy, biological sciences, IT, or related field.
- Knowledge on SAS, R, Python is desirable
- Understanding of clinical data and drug development process, CDISC standards desirable
- Strong written and oral communication skills, and time management skills
- Strong competencies and interests for innovation and problem solving
P fizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
#LI-PFE
Work Type: Hybrid
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.
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