R Developer (m/f)

  • Datalynx AG
  • Basel, BS, Switzerland
  • 10/07/2020
Full time Data Science Data Analytics Big Data Statistics

Job Description

For our client, a well-known pharmaceutical company in Basel, we are looking for an R Developer (m/f).

We are an interdisciplinary team in Biometrics that designs, implements, and maintains R based data analysis tools used to analyze clinical trials data.

We are looking for an experienced, self-driven R developer to help us implement R based data analysis tools. You will join an agile international team of scientists and software engineers that work on a new R based tool chain to transform how we process and analyze data in clinical trials.

You should be passionate about science & software. Applicants should have a flexible and learning mindset, be able to work in a fluid and dynamic environment, and have a strong desire to pursue creative solutions to challenging problems. We have exciting projects that require careful design, have a large user community, and are impactful to the pipeline.

For this role, candidates working full remote or onsite would be accepted.

General Information

  • Start date: 27.07.2020
  • Latest start date: 17.08.2020
  • End date: 31.12.2020
  • Extension: possible, prior approval needed
  • Workload: 100%
  • Work location: Kaiseraugst / Remote
  • Remote: possible
  • Travel: max. 10 %
  • Team: 20 (6 in similar positions)

Tasks & Responsibilities

  • Develop and help designing our R based frameworks to compute advanced graphs, tables and listings
  • Extend and R Shiny based modular framework for interactive and reproducible exploration of clinical trials data
  • Work closely with the subject matter experts to meet stakeholder needs
  • Help define our development & automation workflow

Must Haves

  • Good knowledge of R eco system, advanced knowledge of Shiny, strong debugging skills
  • 8y+ experience in professional software development in a Pharmaceutical or in a regulated environment
  • BS/BA or MS in Statistics, Computer Science, Mathematics
  • Experience with web technologies including HTML, JavaScript, CSS, and D3
  • Background in statistical analysis of data such as survival analysis, generalized linear models, ANCOVA.
  • Experience presenting your work, both verbally and in writing, to diverse audiences including customers, technical colleagues, and management.
  • Experience working on open source projects
  • Experience in Agile teams
  • Strong English communication skills, both written and verbal

Nice to Haves

  • Experience with Clinical Trials
  • Experience with ITIL
  • Former Pharma experience
  • Experience with Software validation / CSV in a GxP environment

Jan Schmitz-Elsen
Talent Acquisition Consultant
+41 61 500 01 74

We look forward to receiving your online application with your CV!