Principal computational genetics scientist

2 months ago

Slough, United Kingdom Next-Link Full time
Job Description
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 organization the group supports the complete R&D pipeline, ranging from target identification, clinical development and through to post-marketing. The Genetics group supports all the sites and geographies.
We are looking for a contractor to support the analytical workload within the group, as well as to be involved in, and potentially lead, projects with an outward facing role.  

RequirementsRequired:
• 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:
• 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.

Behaviours:
• Good inter-personal skills.
• Ability to work both independently and in a team to deliver against deadlines.
• Ability to communicate efficiently the outcomes of analytical work to diverse audiences.
• Ability to work and collaborate with colleagues from other functions.
• Ability to quickly accumulate new knowledge and the agility to move quickly between diverse projects.
• Excellent communication skills in English and the ability to use these skills effectively in an international and multicultural environment.

Requirements
Requirements Required: • 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: • 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. Behaviours: • Good inter-personal skills. • Ability to work both independently and in a team to deliver against deadlines. • Ability to communicate efficiently the outcomes of analytical work to diverse audiences. • Ability to work and collaborate with colleagues from other functions. • Ability to quickly accumulate new knowledge and the agility to move quickly between diverse projects. • Excellent communication skills in English and the ability to use these skills effectively in an international and multicultural environment.

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