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Senior Bioinformatics Scientist - Cambridge, Cambridgeshire, United Kingdom - Cyted
Description
The Senior Bioinformatics Scientist will work with the Director of R&D to support the day to day needs of the existing bioinformatics team members in data analysis, statistical modelling and project reporting.
They will work across all major biomarker projects currently being undertaken by Cyted R&D to ensure project delivery and will help to develop existing team members skills.
The role is a full-time and in-person position with a standard 37.The Senior Bioinformatics Scientist will be based at the Cyted's Head Office, 22 Station Road, Cambridge, United Kingdom, CB1 2JD and will need to visit other company sites when and if required.
Supporting the day to day needs of the -omics analysis and computational modelling within the Research and Development team.
Planning and executing target discovery and validation projects.Coordinating with the Project Manager to deliver new biomarker essays.
Supporting the bioinformatics team members and identifying relevant CPD for the team.
Helping to build analytical tool sets to be used within the team and projects.
Identifying and adopting the latest developments in computational genomics, bioinformatics and data driven diagnostics where appropriate.
Our team works in an agile working environment, where everyone's ideas and opinions are valued. We are committed to quality, looking to provide the best patient experience possible.
PhD in relevant field (e.g. Molecular/Computational Biology, Bioinformatics, Physics or Statistics)
~3-5+ years industry experience post-PhD
~ Knowledge of computational biology and demonstrated application of statistical data analysis methods
~ Experience with the analysis of large -omics datasets
~ Skilled in applying machine learning to perform data mining and design diagnostic assays based on sequence and clinical data
~ Experience working within a team environment, particularly mentoring/supervising bioinformatics teams
~ Familiarity with clinical data analysis and clinical trial design
~ Knowledge of FAIR data principles
~ Expertise in programming appropriate large-scale molecular data analysis (e.g., Python, R, BASH)
~ Demonstrated written and oral scientific communication skills
~ 25 days holiday per holiday year, plus public holidays
~ The option to buy 5 additional holidays
~ Pension Scheme
~ Medical insurance including dental and optical cover
~ Life insurance and Income Protection
~ Social events including Christmas and Summer parties
~ Cycle to work scheme
~ Electric Vehicle Scheme
~ Sabbatical after 4 years of service
~ Relocation allowance if applicable
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