Scientific Programmer (m/w) Job ID: 10377

Statistical Programming

Our client is one of the largest research-based pharmaceutical companies in Germany. The core business is the research, development, manufacturing and distribution of pharmaceutical products.

Ihre Aufgaben
  • You work as a scientific programmer in the Computational Biology Group on topics related to all areas of the team
  • You take over a pivotal role in bioinformatics infrastructure development and automation. You implement robust analysis modules or pipelines, web applications (e.g. in RShiny) based on prototypes or requirements from colleagues from all teams. You implement workflows and modules for our laboratory information management system (Clarity LIMS). You enable interactions of various systems (NGS analysis pipeline, LIMS, expression data repository etc.)
  • You optimize available solutions to scale up in big data context
  • You contribute to the overall strategy for infrastructure development by defining best practices in the context of coding style, version control systems, reproducibility
Ihr Anforderungsprofil
  • You hold a Master's degree or equivalent qualification in computer science, scientific programming, software engineering, bioinformatics or related fields
  • You have excellent knowledge and a broad spectrum in the fields of scientific programming and software engineering, ideally in the field of bioinformatics + omics
  • You have several years of experience in R/Bioconductor or Python and at least one additional programming language. You have previously implemented R or Bioconductor packages and implemented RShiny apps
  • You have robust coding skills, experience with version control systems (e.g. git) and workflow systems (e.g. Make, bpipe or similar). You strive for well documented source code and reproducible data analyses. In addition you are familiar with Linux, HPC environments and queuing systems (optional, this is a plus)
  • Previous experience with LIMS, knowledge of groovy DSL is a plus
  • You have experience working with big data sets and parallelization approaches
  • You have experience with web services and technologies such as JSON or REST
  • Fluent in English and German (written and spoken) 
  • You are characterized by a focused working style, flexibility as well as innovative thinking, problem solving and analytical skills
  • You are a reliable team player with excellent organization and communication skills, and with a high degree of motivation
Auf Anfrage
Auf Anfrage
Patrizia Piscopiello
Consultant GMP Operations
Fon +49 89 4161170-0
Patrizia Piscopiello
Consultant GMP Operations
Fon +49 89 4161170-0
Mobile +49 170 3460327
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