Data Analyst

3 weeks ago

Cambridge, Cambridgeshire, United Kingdom The Learning Experience #398 Full time
The Role

We are seeking a highly skilled Data Scientist to join our team at The Learning Experience #398. As a key member of our scientific team, you will play a foundational role in building our platform and working closely with our founders and collaborators to establish standards and practices.

The successful candidate will have a strong background in computer science, bioinformatics, or a related discipline, with experience in working with large-scale genomic or functional genomic datasets. They will be proficient in Python and/or R, with a mastery of integrating and analysing diverse high-dimensional omics data sets relevant for immunology, oncology, neuroscience, or other therapeutically-relevant fields.

Responsibilities will include performing analysis of human disease datasets, developing computational models to stratify patient groups, and supporting the team to build and maintain a secure data pipeline. The ideal candidate will be an expert in working with AIRR-seq data and have a strong ambition to work with our team to build a transformative company.

We are looking for a team player who proactively and directly communicates and collaborates with other team members. The successful candidate will have a strong network of external scientific contacts of relevance to our company and evidence of contribution to and influence of the strategic scientific direction of a large group.

Requirements
  • PhD (or in exceptional cases, a masters level degree) in computer science, bioinformatics or related discipline or similar
  • Experience at working with large-scale genomic or functional genomic datasets
  • Proficient with Python and/or R
  • Mastery in integrating and analysing diverse high-dimensional omics data sets relevant for immunology, oncology, neuroscience, or others therapeutically-relevant fields
  • Experience in building infrastructure for large scale data analysis and storage
  • 5+ years of industry experience
  • Pre-existing network of external scientific contacts of relevance to our company
  • Evidence of contribution to and influence of the strategic scientific direction of a large group

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