Data Analyst / Analytics Engineer – Graduate / Early Career Level
We have an immediate temporary vacancy for a Data Analyst to work for our client who is a global leader in medical technology, services & solutions. You will be a member of the Algorithm and AI R&D team, developing software for their Digital Health and AI group at their facility in Edinburgh.
You will participate in the collection, collation and analysis of clinical data in support of their algorithm and AI development activities. You will also be responsible for testing, documentation and maintenance of clinical data. This is a key role in enabling the team to move fast and develop novel AI & algorithmic solutions for next generation medical devices. The position will involve working closely with colleagues both in the UK and USA.
Must be a team player with willingness to learn and grow.
Collecting, collating, cleaning and exploring data sets and building data transformation pipelines.
Play the role of a data analytics engineer to perform testing of our algorithms and AI technologies
Work closely with Data and Algorithm scientists to understand the work and provide support
Collaborate with the software delivery team
Participate in technology reviews
Create, maintain and manage documentation required in the performance of duties
Must Have: Minimum Qualifications
Masters Degree in relevant discipline including Data Analytics, Bioinformatics, Biomedical Engineering, Computer Science or Machine Learning / AI
Programming expertise in Python and/or Matlab
Flexibility – you can independently solve problems as they arise, but are comfortable asking for help when you need it
Excellent standard of written and spoken English
Nice to Have
PhD level degree
Experience with C, C++ or C#
Relevant experience in industry
Knowledge of SQL
For more information on this excellent opportunity with our prestigious client please contact the recruitment team on (phone number removed) or apply online
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As an Equal Opportunities employer we welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age