Principal computational genetics scientist

1 month ago

Slough, United Kingdom Next-Link Full time
The Genetics groupis small but dynamic group that develops and applies leading edgeanalytics and approaches to answer a diverse set of questions.Although situated in the Patient Solutions part of the organizationthe group supports the complete R&D pipeline ranging fromtarget identification clinical development and through topostmarketing. The Genetics group supports all the sites andgeographies.
We are looking for a contractor to supportthe analytical workload within the group as well as to be involvedin and potentially lead projects with an outward facing role.

RequirementsRequired:
Direct experience of analysing and using genetic data generatedthrough multiple platforms and associated analyticalapproaches.
Expert knowledge of statistics with specific experience in andapplication of statisticalgenetics.
Advanced computational skills: proficiency in using R python SQLbash and experience of working in a cloudenvironment.
Ability to interpret and present data in the context of thequestionunderstudy.
Good knowledge of the drug discoveryprocess.
Problem solvingskills.

Preferred:
Experience of the application of genetics and genetic approaches todrug discovery anddevelopment.
Experience of using and querying populationdatabases.
Expertise in methods for functional interpretation of genomics datasuch as variant and gene pathway mapping andenrichment.
Ability to understand and integrate data from other sources (e.g.transcriptomicsproteomics).
Expertise in the application of machine learning or artificialintelligenceapproaches.
Relevant biologyexpertise.

Behaviours:
Good interpersonalskills.
Ability to work both independently and in a team to deliver againstdeadlines.
Ability to communicate efficiently the outcomes of analytical workto diverseaudiences.
Ability to work and collaborate with colleagues from otherfunctions.
Ability to quickly accumulate new knowledge and the agility to movequickly between diverseprojects.
Excellent communication skills in English and the ability to usethese skills effectively in an international and multiculturalenvironment.

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.

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