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Research Engineer – Biotech (Mid to Senior)

Are you a naturally inquisitive Researcher with Machine Learning, Data Science or Data Analytics experience within the Bio sector? Are you driven to help people live healthier lives? Do you want to be part of a collaborative business working on truly innovating projects?

This dynamic business are looking to add around 50 people to their research department where you will work in Agile teams conducting your research. We are looking for bright minded and challenging professionals where your work will revolutionise people way of living healthier lives.

With four core areas of research, you will be applying Data Science, Machine Learning & Computer Modelling to Bio related data. The business has secured substantial financial backing as they look to release the first stage of their app, you will join with the view of uncovering the next major breakthrough and look and continually developing the business.

As Research Engineer, your background will include;

  • Educated to Biomedical Engineering, Computational Biology / Sciences, Bioinformatics, Computer Science, Physiology, Mathematics, Data Science or similar
  • Programming experience – (Matlab, R, Python, C, C++)
  • An understanding of the human anatomy / physiology
  • Knowledge of Machine Learning, Data Science, Statistical Analysis
  • Image Processing, Signal Processing & Computer Vision experience are also highly sought after

About the client;

  • Creation of an Agile work mentality
  • Cohesive working where ideas are encouraged, challenged, listened to and implemented
  • 25 days plus bank holidays
  • 6 monthly salary reviews
  • Free breakfast & lunch

We are recruiting within the mid to senior level for this client and with expansion you will have option to grow within the business to Leadership & Management level roles.

With over 50 vacancies within the Research team we are welcoming candidates with the following skill sets; Bioinformatician, Genome, Genomics, Diabetes, Diabetic, Glucose, Cardiovascular, Wearable Technology, Biostatistician, Image Processing, Computer Vision, Machine Learning, Statistical Modelling or similar.

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