| London Jobs |
| Manchester Jobs |
| Liverpool Jobs |
| Nottingham Jobs |
| Birmingham Jobs |
| Cambridge Jobs |
| Glasgow Jobs |
| Bristol Jobs |
| Wales Jobs |
| London Jobs |
| Manchester Jobs |
| Liverpool Jobs |
| Nottingham Jobs |
| Birmingham Jobs |
| Cambridge Jobs |
| Glasgow Jobs |
| Bristol Jobs |
| Wales Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Cambridgeshire |
| Education | Not Mentioned |
| Salary | 40,000 - 60,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
We are currently looking for a Bioinformatics Scientist to join a leading Biotech company based in the Cambridgeshire area. As the Bioinformatics Scientist you will be responsible for the analysis of metagenomic data KEY DUTIES AND RESPONSIBILITIES:Your duties as the Bioinformatics Scientist will be varied however the key duties and responsibilities are as follows:1. The Bioinformatician will develop tools and databases capable of integrating and comparing large-scale (meta)genomics datasets and their associated metadata 2. You will use bioinformatic techniques to analyse and interpret metagenomics data to identify biomarkers of disease and novel live bacterial therapeutic leads3. Using programming skills in Python you will identify, develop and implement new analytical, statistical and machine-learning methods to improve and extend the Companys informatics platform4. Collaborate in multi-disciplinary projects to perform end-to-end data analysis toward therapeutic discovery and developmentROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Bioinformatics Scientist we are looking to identify the following on your profile and past history:1. Relevant PHD or equivalent in a scientific area such as Bioinformatics, Computational Biology or similar 2. Proven industry experience in bionformatics leading the development of bioinformatics methods or pipelines and the analysis of large-scale datasets3. A working knowledge and practical experience with programming languages such as Python, Perl or R Key Words: Bioinformatics, Python, Analysis, Genome, Metagenomics, Metadata, programming