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Principal computational genetics scientist
2 months ago
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