Junior Data Scientist

vor 3 Wochen


Basel, Schweiz CTC Resourcing Solutions Vollzeit

**Junior Data (R&D) Scientist - 5348 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 early-stage 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 high-performance 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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