Data science internship (Multiplexed image analysis)

Job Description Summary

The Immunology Data Science team is looking for a recent postgraduate to complete an internship establishing a universal multiplexed imaging and spatial transcriptomics analysis pipeline for the discovery of immune-related disease mechanisms and novel targets.

Job Description

The Immunology (IMM) Disease Area within Biomedical Research (BR) at Novartis in Basel is seeking a highly motivated postgraduate to join our Data Science team for an internship to establish and benchmark computational tools for the analysis of multiplexed imaging and other tissue profiling technologies including spatial transcriptomics.

The IMM Data Science team collaborates with project teams across IMM on a variety of clinical and preclinical drug discovery programs targeting autoimmune diseases and chronic inflammation. With the advancement of multiplexed imaging and spatial transcriptomics technologies, we are now expanding our internal pipelines to provide a flexible and scalable solution to analyze spatial tissue data across projects.
Desired start date: ASAP
Duration: 6 months
Your responsibilities will include:

• Establish and evaluate existing computational tools to handle and analyze spatial tissue data
• Compare existing analysis approaches in terms of usability, flexibility and scalability
• Apply the selected tools to internal data supporting the identification of disease-relevant tissue structures
• Present the results internally within IMM and the broader tissue profiling community at BR

Essential Requirements:

• Recent master’s degree (MSc) in bioinformatics, computational biology, data science or a related field
• Excellent skills in data handling and analysis using Python; Experience with Unix command line and pipelining solutions (e.g. snakemake/nextflow)
• Ability to work independently and as part of an interdisciplinary team
• English: proficient in oral and written

Desirable Requirements:

• Previous experience with analyzing low- or highplexed imaging data; Experience analyzing spatial transcriptomics and applying spatial statistics is a plus
• Good understanding of biology and immunology

Onsite or Hybrid? #Li-Onsite

Commitment to Diversity and Inclusion:

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Accessibility and accommodation

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individuals. If, because of a medical condition or disability, you need a reasonable

accommodation for any part of the recruitment process, or in order to receive more detailed

information about the essential functions of a position, please send an e-mail to

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Skills Desired

Summary

• Location: Basel (City)
• Type: Full time