Manager, Statistical Data Sciences Lead

The role is/includes

• Individual Contributor/Project or Application Manager/People Manager of small teams
• A highly productive, independent programming lead ensuring excellence in the delivery of analysis ready datasets, tables, listings, and figures to advance research, development, and commercialization of the Pfizer portfolio following Pfizer SOPs and processes
• The programming point of contact at the study level, and will support at the asset/submission level (TA and Study) , supporting end to end deliverables in the study/project/portfolio/standards team high complex statistical programming deliverables to support assets and study teams Able to lead R-programming initiatives in SDSA by able to develop datasets, TLFs and reports using R
• Well versed with creation of dashboards using R-shiny.
• Sound understanding of data science concepts and algorithms in supervised and unsupervised space. Deep expertise in natural language processing and text data. Good exposure to large language models.
• Good exposure in programming languages such as SAS, R and Python and visualization tools such as R-Shiny.
• Able to solve business problems end to end from the requirement understanding and deploying the models and programs for production.
• Leading architecture development in Standards for major phases of delivery
• Manage projects(mid and small sized) and/or manage small sized teams
• Acts as co-lead/lead on selected projects/initiatives/activities and also study deliverables as needed.
• Guide, mentor, monitor programmers within the team and collaborate with Senior SDSL’s on timelines, resource management  and deliverables with quality.
• 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.

  
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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