Sorry. This page is not yet translated.

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


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.


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


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