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The Role
The Senior Statistical Data Scientist will program statistical deliverables, collaborate with study teams, and ensure compliance with Pfizer standards, focusing on SAS, R, or Python. They will also engage in self-learning and contribute to SDSA initiatives.
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Job Summary
Job Responsibilities :
Qualifications/ Skills:
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Medical
- 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.
Job Responsibilities :
- Accountable for their assigned work supporting the standards/ s tudy 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.
Qualifications/ Skills:
- Bachelor or Master (preferred) Degree in Statistics, Computer Sciences, Engineering, Pharmacy, biological sciences, IT, or related field.
- 3.5 -4 years relevant experience in SAS or R programming and working knowledge of clinical trials
- Understanding of clinical data and drug development process, CDISC standards required
- Clinical trials expertise with an understanding of data operations required for the reporting of clinical trial data.
- Good understanding of ICH and regulatory guidelines
- Working knowledge of clinical data and relevant data standards
- Is able to work with stakeholders across t imezones under tight timelines
- Strong written and oral communication skills, and time and project management skills
- Strong competencies and interests for innovation and problem solving
- Proven ability to operate with limited oversight
- Knowledge of at least 1 Therapeutic Area
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Medical
Skills Required
- Bachelor or Master Degree in Statistics, Computer Sciences, Engineering, Pharmacy, biological sciences, IT, or related field.
- 3.5 -4 years relevant experience in SAS or R programming and working knowledge of clinical trials
- Understanding of clinical data and drug development process, CDISC standards required
- Clinical trials expertise with an understanding of data operations required for reporting of clinical trial data
- Good understanding of ICH and regulatory guidelines
- Strong written and oral communication skills, and time and project management skills
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Pfizer Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes comprehensive medical with robust mental‑health networks, plus dental and vision options, and coverage for infertility/family‑building and transgender‑affirming care. Recent U.S. summaries name mental‑health partners and outline multiple plan choices.
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Retirement Support — The retirement program provides a 401(k) with company match plus an additional employer Retirement Savings Contribution, along with financial‑planning support and company‑paid life and disability insurance. These elements are highlighted as part of the core U.S. package.
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Parental & Family Support — Parental leave is described as up to 26 weeks in the U.S. when combining paid non‑medical parental leave with medical recovery where applicable, with exact pay and weeks dependent on circumstances and plan elections. Family‑building support includes egg preservation, adoption, and surrogacy coverage.
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The Company
What We Do
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Why Work With Us
We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.
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