Principal computational genetics scientist

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 postmarketing. 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.

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 interpersonal 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 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.