Data Scientist – Algorithmic Development

Competitive | Cambridge | Permanent
Posted 12 days ago

About the Job
Roles are varied and flexible, depending on your skills and on project needs. Your main goal would be to work within a multidisciplinary team of clinicians, analytical chemists, data scientists and algorithm developers to analyse spectral and sensor data from our instruments, together with clinical information, to deliver algorithms for clinical diagnosis and screening, or for detection of toxic chemicals.
This will involve plenty of data wrangling & cleaning, database querying, exploratory analysis, algorithm development and coding, as well as providing visualizations and reports on discoveries.
About You
You will have a graduate degree in a quantitative field (physics, maths, computer science, statistics, or similar) with a solid understanding of the skills & techniques needed to extract robust decisions from sensor data and will be able to show evidence of previous data analysis work you have carried out.
You will need to know at least one of R or Python very well (we work mainly in Python), and be familiar with their relevant data analysis packages. And you need to be a good communicator – able to explain complicated technical concepts clearly, both verbally and in writing.
In addition, we will be looking for you to bring experience of some of the following:
• Experience in computer modelling or machine learning
• Excellent skills in programming
• Experience in data visualization and excellent data presentation skills
• Excellent skills in statistical analysis of large data sets
• Experience of working in a Linux command line environment and of working with relational and non-relational databases
Most importantly, we are looking for people who can figure out what the right problem to tackle next is and who are committed to delivering the solutions. Don’t just tell us, show us what you’ve accomplished.

For more information about this role, please contact:

Peter Monar

peter.monar@itqanalytics.com
0207 516 1228

See Peter Monar's jobs
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