Junior Data Scientist

Vor 7 Tagen


Basel, Basel-Stadt, Schweiz CTC Resourcing Solutions Vollzeit

Junior Data (R&D) Scientist URA
Our client is a leading global player in the Pharmaceutical industry with global headquarters in Basel, Switzerland. They are undergoing a transformation with respect to culture and outside perception.

The organisation focusses on novel therapies in Oncology and Ophthalmology and is also currently developing a world-leading pipeline in Neuroscience and Dermatology with one of the strongest pipelines of Phase II/III studies in the world.


We are currently looking for a highly motivated
Junior Data Scientist to work on data analysis, processing and quality control as part of the
Oncology Data Science team, supporting their cutting-edge
oncology drug discovery programs and early-stage clinical trials.


Main Responsibilities:

  • Impact earlystage clinical trials and drug discovery programmes by providing inputs into data quality control and data analysis
  • Writing code to process and analyse 'omics data (high throughput screening, RNASeq, scRNASeq) in a highperformance computing environment
  • Working as part of a multidisciplinary team
  • Contributing to a range of data science projects depending on interest and skillset, including visualisation, data ingestion and processing, and computational modelling of biological processes
  • Identify and solve scientific, operational and technical challenges, lead and manage solutions from ideation to structural requirements, design, implementation, rollout of the solutions and maintenance.
  • Timely execution of projects and data requests

Qualifications and Experience:

-
Relevant working/residency permit or Swiss/EU-Citizenship required:

  • Bachelor or Master degree or higher in Computational Science / Bioinformatics or a related discipline.
  • Excellent in english communication
  • Experience using the R programming language (Bioconductor / Tidyverse / RShiny).
  • Some knowledge of biological sciences, genetics & genomics.
  • Clear communication to explain how and why an analytical method was used.
  • Experience with CUT&Tag datasets or deep molecular scanning (DMS) technologies
  • Experience processing clinical oncology datasets, including DNA datasets

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