Principal computational genetics scientist

Requirements

Requirements Required: Direct experience of analysing and usinggenetic data generated through multiple platforms and associatedanalytical approaches. Expert knowledge of statistics with specificexperience in, and application of, statistical genetics. Advancedcomputational skills: proficiency in using R, python, SQL, bash andexperience of working in a cloud environment. Ability to interpretand present data in the context of the question understudy. Goodknowledge of the drug discovery process. Problem solving skills.Preferred: Experience of the application of genetics and geneticapproaches to drug discovery and development. Experience of usingand querying population databases. Expertise in methods forfunctional interpretation of genomics data, such as variant andgene pathway mapping and enrichment. Ability to understand andintegrate data from other sources (e.g. transcriptomics,proteomics). Expertise in the application of machine learning orartificial intelligence approaches. Relevant biology expertise.Behaviours: Good inter-personal skills. Ability to work bothindependently and in a team to deliver against deadlines. Abilityto communicate efficiently the outcomes of analytical work todiverse audiences. Ability to work and collaborate with colleaguesfrom other functions. Ability to quickly accumulate new knowledgeand the agility to move quickly between diverse projects. Excellentcommunication skills in English and the ability to use these skillseffectively in an international and multiculturalenvironment.