Pfizer - Statistical Data Scientist

paid / remote / full-time


There are data scientists and R subject matter experts spread wide across Pfizer, supporting a huge range of business lines make sense out of data, help to make decisions, presenting data, preparing for regulatory interactions (with regulatory agencies around the world). These data scientists and R SMEs are creating Shiny apps, dashboards, reports, visualizations, functions, packages etc. but occasionally they need extra support or if there isn't an SME within a business line they will come to us at the R Centre of Excellence where we'll help out. We have RStudio products (RStudio Workbench, Connect, Package Manager) and run RStudio in Docker and on High Performance Compute Grid.

The Data Science Manager works closely with the senior consultant data scientists, individuals and project teams from business lines to identify technical solutions to business problems. As a member of the R Center of Excellence (CoE), they will work closely with other technical colleagues to deliver solutions to a variety of teams who work on projects across the portfolio, including both clinical and non-clinical applications. S/he will provide subject matter expertise (SME) to business lines, helping them to design robust solutions to automate business processes, as well as being a technical SME to individuals, helping them to deliver solutions using best practices and next generation methods.

Provide consultancy and technical input to business lines helping them to build reproducible scientific workflow pipelines and use analytic tools effectively and efficiently, in order to deliver on their commitments to drug development, regulatory interactions and making breakthroughs that change patients’ lives.

Influence internally within Pfizer to demonstrate the power of R and modern data analytic tools to influence externally through collaborative partnership and professional networking with academic, government and industry statisticians and software engineers

A creative problem-solver & data science subject matter expert (SME) who will drive business transformation of Biometrics’ Statistical Programming & Analysis (SPA) organization, the Data Science Manager will inform & bolster the effectiveness of change by championing the application of innovative technologies and data science techniques to make SPA’s workplace state of the art.

This role is a great fit for those seeking to unleash their inner creativity, ingenuity, & curiosity. We aspire to stretch traditional limitations of solutioning. We are seeking those who want to define the future of Data Science at Pfizer.

This role will require minimal direction while collaborating to vision and solution “what, where, & how” to innovate, networking within SPA as well as cross-functionally to build alignment to that strategy, communicate & educate cross-functionally to bring alignment on innovative solutions, then ultimately champion delivery the envisioned business value.

The transformations to be delivered will span SPA’s global workforce, will dramatically improve the operations that support individual study work, cross-study integrations, as well as regulatory submissions, and will enable scaling of workloads. This role has vast opportunity for impact, growth, & sense of accomplishment.

Role Responsibilities:

  • Provide strong technical knowledge of R, R packages, Shiny Apps, Markdown reports and other associated data science and data analytics tools (e.g. Python) and ML methods to business lines across Pfizer.
  • Use agile concepts to help Pfizer business lines turn problems, ideas or concepts into working solutions.
  • Provide technical input within the R CoE and to other R SMEs to deliver solutions, build reusable code & R packages, Shiny applications and data analytic pipelines.
  • Work with Pfizer Digital partners to ensure that analytical resources are state of the art - ensuring that R and associated infrastructure are delivered quickly and efficiently to enable Pfizer colleagues to have access to best available tools.
  • Help build an R community at Pfizer, identifying and championing good case studies, sharing best practices and keeping R users at Pfizer up to date with latest developments.
  • Help develop training on R and associated tools for Pfizer colleagues.
  • Provide mentorship for Pfizer colleagues seconding into the R CoE – helping them to become technical leaders and future problem-solving R consultants for their own business lines.
  • Represent Pfizer at external meetings such as R in Pharma, RStudio Conference and UseR. Also provide technical input to discussions around use of R and Shiny in regulatory interactions.
  • Collaborate to identify & define SPA-based and cross-functional initiatives to deliver solutions that align with & implementing SPA’s digital transformation strategy.
  • Leverage data science expertise to influence alignment of business needs/wants, priorities, risks, success measures, definition of done, etc.

Basic Qualifications:

  • Bachelor’s degree or above or equivalent experience in a scientific or related business discipline required; Degree in Informatics, Computer science, Statistics, Data Science, or related business degree with equivalent experience preferred.
  • Bachelors + 5 years of total experience with Clinical data, Statistical Analysis & Reporting, and Analytics. Masters + 3 years. PhD + 0 years.
  • Prior experience supporting Clinical Research.
  • Excellence in R, Shiny, markdown and associated technologies – demonstrated via external-facing repositories such as Github or CRAN.
  • Working knowledge of ancillary tools like Javascript, CSS, HTML is desirable.
  • Experience in software development using agile principles focusing on rapid delivery and iterative refinement.
  • A demonstrated ability to interpret requirements and negotiate deliverables is essential.
  • Works independently, requires minimal instruction.
  • Ability to organize tasks, time, and priorities.
  • Ability to multi-task & juggle competing priorities.
  • Ability to communicate with internal & external stakeholders, locally and globally.
  • Excellent verbal and written communication skills.
  • Ability to lead & influence.

PREFERRED QUALIFICATIONS:

  • Min. 2 years of experience supporting pharmaceutical R&D.
  • Machine Learning model implementation is desirable.
  • Prior working experience with teams spread across different time zones & geographies.

This position is now filled. Thanks for your interest.

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