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Principal Statistical Programmer - R&D

India Permanent Date posted 15/06/2024
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Job title: Principal Statistical Programmer - R&D

  • Location:IN / Hyderabad

About the job


Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As Principal Statistical Programmer - R&D within our B&P Global Programming, You’ll as a Senior R Clinical Analytics Specialist (CAS), you will be responsible for the design, development, and implementation of multiple, complex R-based packages and RShiny applications. You will provide technical guidance and mentorship to junior CAS members, and drive innovation in R package and RShiny development practices.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main responsibilities:

  • Collaborate with junior Clinical Analytics Specialist, Statistical Scientists, project leads and other stakeholders to design, develop, document, and maintain multiple, complex R-based packages and RShiny applications, ensuring scalability, performance, and maintainability.

  • Mentor junior CAS members, providing technical guidance, code reviews, and knowledge sharing to foster their professional growth and ensure code quality and adherence to coding standards.

  • Collaborate with stakeholders to gather requirements, define project scope, and propose technical solutions aligned with business objectives.

  • Drive innovation in R package and RShiny development practices, exploring new technologies, tools, and methodologies to improve efficiency and quality.

  • Establish and enforce coding standards, best practices, and guidelines for R package and RShiny development within the team.

  • Conduct performance optimizations and code refactoring to improve the overall efficiency and reliability of R-based software solutions.

  • Stay abreast of emerging trends and advancements in R programming language, data visualization, and web application development, and integrate new technologies into existing solutions as appropriate.


About you

  • Experience:  Experience in R and Shiny programming, in a clinical data environment across multiple therapeutic areas.

  • Soft and technical skills:  Proven track record of successfully developing, implementing, and maintaining complex R based analytic solutions.

  • Excellent problem-solving skills and ability to troubleshoot complex technical issues.

  • Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.

  • Experience with agile software development methodologies and familiarity with project management tools (e.g., Jira), version control systems (e.g., Git), and continuous integration/continuous deployment (CI/CD) practices.

  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.

  • Education:  Master’s degree in computer science, Engineering, Statistics, or a related field.

  • Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment.


Why choose us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

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