Oncology Data Science Intern

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Thousands of assays are currently available for searching, browsing and analysing, as part of NIBR's large and growing collection of in-house 'omic data. Become a part of the data revolution in drug discovery and work with experienced data scientists and engineers to learn how to leverage these data to reimagine medicine and improve lives!

We are seeking a highly motivated intern to work on data integration, visualisation, analysis and/or computational modelling as part of the Oncology Data Science team at NIBR Oncology, supporting our cutting-edge oncology drug discovery programs.

Timing: Q4 2022 (expected start date)

Duration: 6 months

Your responsibilities:

• Impact drug discovery projects by developing pragmatic analytical or computational modelling solutions
• 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 to integrate in-house data with publicly available datasets
• Contributing to a range of data science projects depending on student interest and skillset, from visualisation and data ingestion to in-depth analysis to building machine learning models to answer key scientific questions

Diversity & Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Minimum Requirements

What you’ll bring to the role:

• Enrolled in Master or PhD programme OR completed Master's degree or PhD in Computational Science / Bioinformatics or a related discipline.
• Very good English spoken & written
• Experience using the R programming language (Bioconductor / Tidyverse / RShiny).
• Experience applying workflows and software to analyze complex data sets
• Some knowledge of biological sciences, genetics & genomics
• Clear communication to explain how and why an analytical method was used
• Desirable: Experience using deep learning frameworks (PyTorch or similar) for computational modelling

Why Novartis?

769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.

We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.