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Operational Planning & Capacity Management Data Analyst - VIE

Job in Morristown, Morris County, New Jersey, 07960, USA
Listing for: Sanofi
Contract position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below
Position: Operational Planning & Capacity Management Data Analyst - VIE Contract

Operational Planning & Capacity Management Data Analyst - VIE Contract

Location:

United States of America, Morristown

Target start date: 01/11/2026

About the job

As Operational Planning & Capacity Management Data Analyst VIE within our Transformation & Project Management team, you will enable the Clinical Sciences & Operations (CSO) Operational Planning & Capacity Management (OPCM) team to rapidly develop and implement the right solutions. This role is essential to advancing our business intelligence initiatives by developing end-to-end web applications, building predictive models, and creating automated data pipelines, while translating complex technical solutions for stakeholders across multiple geographies (USA, Germany, China, France).

Join the engine of Sanofi's mission — where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions.

Main responsibilities:

  • Maintain and develop end-to-end web applications for what-if scenario or data analyses.
  • Write scripts for data extraction, cleaning, management, and visualization.
  • Use statistical methods to analyze large datasets and extract valuable insights.
  • Lead and contribute to various transversal initiatives.
  • Summarize, simplify, and present results during meetings with cross-functional teams in an international environment (collaborators located in the USA, Germany, China, and France).
  • Strengthen the networking between OPCM & Global Project Management (GPM) using a common language to facilitate the interactions and collaboration.
  • Play a strong role of interface between clinical stakeholders and OPCM to translate business needs into technical solutions and the reverse (ie, vulgarize complex and technical solutions to non-experts).

About you

Experience:

  • Experience in programming and statistical analyses/modeling using Python and R.
  • Experience in Pharmaceutical Development.

Soft and technical skills:

  • Strong knowledge of programming in Python.
  • Knowledge of programming in R would be a plus.
  • Good understanding of SQL and databases.
  • Knowledge in Python/Dash web app framework development or other frameworks.
  • Skills in statistical analysis, machine learning and statistical modelling.
  • Ability to decrypt and translate business problems into technical solutions and to vulgarize complex and technical topics to non-experts.
  • Autonomous and self-learner.
  • Excellent organizational skills, rigor, curiosity and creative problem-solving skills.
  • Analytical mindset, pragmatic, striving for results.
  • Good communication and network skills, presentation skills (verbal & written) and ability to work in an international and multi-cultural environment.

Education:

  • Master's degree related to Data Science such as statistics, computer science, or mathematics.

Languages:

  • Fluent English (written and verbal).

Why choose us?

  • Be part of a pioneering biopharma company where patient insights shape drug development.
  • Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
  • Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
  • Help improve the lives of millions of people globally by making drug development quicker and more effective.
  • Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.
  • Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.
  • Achieve genuine work-life balance in a supportive R&D environment.
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