Computational Genomics Research Scientist

Role Overview

As a Computational Genomics Research Scientist you will be a crucial part of our Research & Development team.  This role will involve conducting in-depth research in genomics, particularly focusing on the application of Nomaly, our proprietary AI technology for genomics analysis.  It may also include the use of population genetics calculations and other genetic statistics or corrections/adjustments to support the understanding of genetic variation in the context of Nomaly.

Key Responsibilities

• Conduct in-depth genomics research on a variety of diseases and cohorts, focusing on the application of our predictive, data-driven AI technology for genomics analysis
• Contribute to the development and optimisation of our proprietary AI technology, Nomaly
• Collaborate with a multidisciplinary team of scientists and researchers
• Stay up-to-date with the latest developments in genomics and biomedical informatics
  

Qualifications

You will have a strong background in genomics and bioinformatics, most likely with a proven track record of publishing high-impact scientific papers, and most of these:

• PhD in Genomics, Bioinformatics, Computational Biology, or a related field
• Strong analytical and problem-solving skills
• Experience in genomics research and using population genetics tools.  An understanding of the statistics and the principles behind it is preferred
• Proven track record of publishing high-impact scientific papers in the field of genomics, or in delivering and completing projects or contributing to consortia objectives.
• Good programming skills, particularly in languages commonly used in bioinformatics such as Python or R
• A desire to learn and embrace new approaches
• Good communication and teamwork skills