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·Development of Bioinformatics datasets, resources, and scripts that will enable downstream analyses for users of the research environment
·Carrying out complex custom computational analyses
·Provide high quality consultancy services in a variety of projects
·Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve capabilities
Postdoctoral level (or equivalent) in a strongly computational and statistical discipline such as statistical genetics, machine learning, computational biology.
·A background in statistical genetics, statistical bioinformatics, Biostatistics, or a related strongly quantitative discipline, with postdoctoral experience in fields related to statistical genetics or genomics
·Strong statistical analysis skills and experience of bioinformatics research and analytics using large human genomic datasets alongside clinical data
·Excellent communication skills, both written and verbal and excellent facilitation, influencing and presentation skills
·Proven ability to communicate with key customer and internal stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
·Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery.
·Experience with cloud-scale data processing and high-performance computing. HPC
·Demonstrated knowledge and competence in relevant programming languages and applications (e.g. R, Python) and experience of using a suite of bioinformatics tools to problem solve and answer research questions.
If you have PostDoc industry, not academic, experience as a Bioinformatician or Data Scientist within a computational and statistical discipline such as statistical genetics, machine learning, computational biology please get in touch.
(Ideally some technical writing experience with a strong publication record in a relevant field)