Scientific Data Analyst

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I’m looking for a Scientific Data Analyst with Machine Learning and Python experience to join a R&D company in Oxford, working on ground-breaking and life-saving research projects!

What will you be doing?

You will join a research group focused on improving the accuracy of my client’s medical diagnostic device. You will be tasked with developing and implementing algorithms and Machine Learning methods from scratch, as well as producing reusable and scalable software tools in Python. You will be interacting heavily with Scientists, helping to plan and execute experiments, so communication skills and a strong understanding of scientific methods are key!

About the company
You will be joining a truly exceptional company and one of Oxford’s most exciting R&D institutions. Originally an Oxford University spin-off, the company have now grown to close to 500 people, with multiple offices around the globe! You will enjoy benefits including:

  • 10% bonus
  • 25 days holiday
  • On-site gym
  • Free parking
  • Private Healthcare

The ideal candidate will have…

For this Scientific Data Analyst position, we’re looking a bright individual with strong problem solving skills and the ability to understand complex scientific concepts. We’re ideally looking for:

  • A PhD in a mathematical subject (Maths, Physics, Statistics, Computer Science, Data Science) or equivalent experience
  • Experience building and implementing algorithms and Machine Learning models from scratch
  • Scientific software development experience with Python
  • Ideally, a knowledge of biology/life sciences

So what’s next?
If you think this role is a good fit for you, please apply below and I will be in touch with you shortly to discuss the role further.

Alternatively, if you’re not ready to apply just yet but would like some more information, please feel free to call me on 07552 227 662 email rebecca@corriculo.co.uk.

Location
Oxford
Job Type
Permanent
Salary
Up to £58,000
Contact Name
Rebecca Ace
Contact Number
07552227662
Benefits
  • 10% bonus
  • 25 days holiday
  • On-site gym
  • Free parking
  • Private Healthcare
Date Posted
April 9

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