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CEGX

Platform for epigenetic sequencing

Data Scientist: Data Insight
Cambridge, GB
Job Description / Skills Required

Deliver insights into epigenomics experiments from internal and external clients.



Roles and Responsibilities



The role will primarily focus on delivering insight into epigenomics experiments from internal and external clients. The environment is dynamic and fast moving and the candidate would be well served by a broad bioinformatics background and all round aptitude for informatic technologies. As the company expands to the clinical market, there will be exciting opportunities to make an impact in human health and wellbeing.



Core Responsibilities:



Develop novel computational strategies and tools to interrogate and deliver meaning from epigenomics datasets

Developing bioinformatics pipelines and tools

Investigating new computational methodologies and technologies

Benchmarking of computational methods

Interacting with lab scientists and customers to reach analysis goals



Experience



This role requires a data scientist with a background in genomics / epigenomics / bioinformatics. Experience and understanding of: regulatory genomics, epigenomics, EWAS/GWAS, and more general computational/statistical approaches in genetics and molecular biology would be highly advantageous. Candidates would likely have had between 3 and 8 years experience in this area as evidenced by a relevant Masters, Ph.D, Postdoctoral Work, or/and equivalent industry experience.



Required:



Experienced in the application of Computational/Statistical/Bioinformatics methods in genomics/epigenomics (e.g. Whole Genome Bisulfite Sequencing, Reduced Representation Bisulfite Sequencing, ChIP-seq and other NGS technologies, as well as data generated from array based assays)

Programming maturity with an interest in programming practice in the unix environment

Competence in at least two of Julia, Scientific Python, R, Perl, and willingness to learn others as required



Desirable:



Experience applying bioinformatics/informatics in clinical settings, or developing clinical bioinformatics applications/systems

Experience in DNA and RNA methylation

Experience in cloud computing

Deep understanding of algorithms and data structures

Experience with large biological datasets, data processing strategies and data technologies

Interest/expertise in data visualisation and experience with D3 or other visualisation libraries

Familiarity with C/C++, Java