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Principal computational genetics scientist

Posted a month ago

  • Slough, Berkshire
  • Temporary
  • Sponsored
  • Expires In 4 days

Job Title: Principal computational genetics scientist - Global Biopharmaceutical

Contract: 12 month contract, Hybrid

Location: Slough

Salary: �34.75 (PAYE), �47.31 (Umbrella)

SRG are working with a Global Biopharmaceutical company to help them find a Principal computational genetics scientist to join their busy team.

The Genetics group is small but dynamic group that develops and applies leading edge analytics and approaches to answer a diverse set of questions. Although situated in the Patient Solutions part of the organisation the group supports the complete R&D pipeline, ranging from target identification, clinical development and through to post-marketing. The Genetics group supports all sites and geographies

Key Responsibilities will include:

  • Perform analysis of protein therapeutics using mass spectrometric technique
  • Tackle scientific problems
  • Keep accurate records and contribute to authorship of analytical aspects of regulatory submissions, technical procedures, protocols and reports
  • Research specific analytical protocols (literature) and keep aware of latest analytical techniques
  • Assay and instrument troubleshooting
  • Ensure lab equipment is properly maintained and functioning properly; initiate appropriate repair and maintenance
  • Ensure appropriate lab material and consumables availability

Candidate Requirements:

  • Direct experience of analysing and using genetic data generated through multiple platforms and associated analytical approaches.
  • Expert knowledge of statistics with specific experience in, and application of, statistical genetics.
  • Advanced computational skills: proficiency in using R, python, SQL, bash and experience of working in a cloud environment.
  • Ability to interpret and present data in the context of the question understudy.
  • Good knowledge of the drug discovery process.
  • Problem solving skills.

Preferred Requirements:

  • Experience of the application of genetics and genetic approaches to drug discovery and development.
  • Experience of using and querying population databases.
  • Expertise in methods for functional interpretation of genomics data, such as variant and gene pathway mapping and enrichment.
  • Ability to understand and integrate data from other sources (e.g. transcriptomics, proteomics).
  • Expertise in the application of machine learning or artificial intelligence approaches.
  • Relevant biology expertise

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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