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Manager, Statistical Data Sciences Lead

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Pfizer

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Location:
Greece , Thessaloniki Pylaia

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

A highly productive, independent statistical data sciences lead ensuring excellence in the delivery of analysis ready datasets, analysis results, and displays such as tables, listings, and figures to advance research, development, and commercialization of the Pfizer portfolio following Pfizer SOPs and processes. Ensures adherence to high quality statistical data sciences principles, processes and techniques in the production of clinical reports. This role is the statistical data sciences point of contact at the study level, and will support at the asset/submission level.

Job Responsibility:

  • Ensuring excellence in the delivery of analysis ready datasets, analysis results, and displays such as tables, listings, and figures to advance research, development, and commercialization of the Pfizer portfolio following Pfizer SOPs and processes
  • Ensuring adherence to high quality statistical data sciences principles, processes and techniques in the production of clinical reports
  • Being the statistical data sciences point of contact at the study level, and supporting at the asset/submission level
  • Delivering through combination of oversight of in-house statistical data scientists / vendors / offshore support as well as through hands on application of statistical data sciences techniques
  • Working with department leadership and project teams to establish strategy, timelines, and resourcing of deliverables for their study(ies)
  • Being accountable for the quality and timely delivery of datasets, analysis results and displays required for their clinical study reports as well as other asset level deliverables
  • Ensuring appropriate documentation across the lifespan of the study for deliverables and verifying proper Trial Master File filings
  • Ensuring planning is in place for all deliverables including consideration of special data types and downstream uses of data
  • Working with statisticians, statistical data science resources and other colleagues to ensure clear specifications for deliverables are in place
  • Being knowledgeable in core safety standards as well as Therapeutic Area standards or Industry data standards for unique data types
  • Aiding in development of standards necessary for their study or asset
  • Contributing to department level initiatives
  • Being proactive at communicating potential issues to upper management
  • Anticipating and solving routine problems, while developing the ability to solve complex problems
  • Supervising and supporting a team, fostering collaboration and continuous improvement

Requirements:

  • Bachelor’s or Master’s (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field
  • At least 5 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency
  • Clinical trials expertise with a thorough understanding of data operations required for the reporting of clinical trial data
  • Good understanding of ICH and Regulatory Guidelines including submission requirements and data conformance (e.g., Pinnacle21)
  • Statistical Programming and SAS, R, or Python hands-on experience
  • Familiarity with R packages, Shiny Apps, Markdown reports and other associated data science and data analytics tools and AI/ML highly desired
  • Experience with Real World Evidence and other big data sources and associated standards (e.g.OMOP, JSON, ODHSI ) in support of regulatory filings desired
  • Active participation in relevant industry groups (e.g., PHUSE, CDISC, IHD)
  • Routine problem solving skills, developing the ability to solve complex problems using skills based on experience and extrapolation to new situations
  • Thorough understanding of clinical data and relevant data standards (e.g., CDISC)
  • Extensive knowledge of routine statistical methodology and its application to statistical data sciences
  • Knowledge of vendor processes
  • Demonstrated experience in developing successful partnerships within study teams
  • Strong written and oral communication skills, and project management skills
  • Ability to present technical information to a non-technical audience
  • Proven ability to operate independently
  • Some exposure working across international boundaries and cultures
  • Ability to manage customer expectations
  • Ability to manage work of others in a remote and/or global setting

Nice to have:

  • Familiarity with R packages, Shiny Apps, Markdown reports and other associated data science and data analytics tools and AI/ML
  • Experience with Real World Evidence and other big data sources and associated standards (e.g.OMOP, JSON, ODHSI ) in support of regulatory filings
  • Active participation in relevant industry groups (e.g., PHUSE, CDISC, IHD)
  • Some exposure working across international boundaries and cultures
What we offer:
  • Work life harmony
  • Trusting, flexible workplace culture
  • Disability inclusion
  • Equal employment opportunities

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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