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| Job Location | Cambridge |
| Education | Not Mentioned |
| Salary | Salary negotiable |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Machine Learning Engineer - Bioinformatics - CambridgeAn up-and-coming biotechnology company in Cambridge are looking for a senior machine learning engineer to join their fledgling team.In this exciting new role, you will be developing complex bioinformatics and machine learning algorithms that will have a direct effect on the companys future research and development programmes and current products, which are the perfect blend betweenscience and engineering.You will be utilising your machine learning expertise to gather user requirements, define system functionality and writing code in Python. The successful engineer will need to be highly self-sufficient in the execution of their duties, taking responsibilityfor areas of functionality, whilst also benefiting from a supportive and forward-thinking working environment.This is a great opportunity to join a company and make a real difference with your knowledge and experience, leading bioinformatics projects from day one.We are looking for scientists who have developed code in Python coupled with experience in the bioinformatics field. This will be complemented by an engineering of science related degree and experience with cloud computing. Experience with Bayesian statisticswould be extremely beneficial.This company are working on a product that will aim to save and improve peoples lives and they need scientists and engineers who share that passion.The client is offering competitive salaries as well as a comprehensive benefits package that includes share options.For more information, please call Matthew Lowdon of Newton Colmore Consulting on or make an application and one of our team will be in touch.Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helpingthem secure highly sought after skill sets.Key words: Data Scientist, Machine Learning, Bioinformatics, Medical Devices, Engineering, Physics, ISO 13485, Biotechnology