Data Science Developer – PART TIME
Merck Sharp & Dohme Corp.
Prague, Czech Republic
před 58 dny


MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products.

The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-

year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Are you interested in coding and development of data science products? We are looking for students with at least some experience with programming and / or scripting in R and interest in data science to support development of tools for advanced analytics in pharmaceutical industry.

In the Data Scientist Developer role you will be part of the data science team supporting and developing a product that aims to ease and systematize decision making.

The job includes, but does not restrict to, forming an R package, writing functions according to mathematical / statistical articles, developing GUI in R, code testing, deploying, and other components of industrialization.

Primary job responsibilities include :

  • Understanding the data science problem and the product being delivered as a solution
  • Analysis and understanding of the existing code base in R
  • Developing and / or improving the functions of the product in the context of a given high-level architecture
  • Writing unit tests and functional tests for existing and new functions
  • Creating R packages
  • Collaboration on a front-end tool development in R (Shiny)
  • Participating in the product industrialization deployment, documentation,
  • Staying up to date with the most recent development in R and its packages
  • Working with multiple collaboration DevOps tool such as JIRA, git and Confluence
  • Further responsibilities might be related to core data science including exploratory data analysis, running simple statistical tests and drawing high-
  • level conclusions from the data

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