Technical Machine Learning Lead Scientist

Permanent, Cambridge (UK) or Leiden (Netherlands)

Do you want to co-create the future of healthcare, driving automation for better results for patients and businesses?

Reducing the time for new drugs to reach the patients as early as possible?

Do you love creative autonomy, a tight team, and a dynamic environment?

Are you transparent, a straight talker and respectfully direct?

If so, you could be the OKRAN we’re looking for.

Your Journey

You will be working alongside the best. You will play a critical role in driving the technical design and implementation of machine learning solutions for healthcare and life sciences. You will work closely with our excellent team who have worked for over a decade implementing machine learning for real-world applications, turning research into commercial reality.

You will have a large impact on the technical design, architecture, refinement and automation of machine learning approaches in healthcare. You will also have a key role in driving the development of technical tools to expose the mined information, taking advantage of the latest technologies available. You will:

  • Drive the technical automation and optimisation of the machine learning pipeline of the different products and for different clients.

  • Automation and implementation of ML pipelines using both structured and unstructured data sets to generate insights for commercial, medical and market access teams within the life science sector

  • Conduct end-to-end analyses, including data gathering, requirement specification, processing, modelling, and ongoing deliverables

  • Build and prototype ML pipelines iteratively to provide insights at scale

  • Implement testing frameworks of deployed products including testing for AI bias, transparency and reliability

  • Join a highly-skilled international team, with diverse backgrounds and a gender equality policy, based both in Cambridge (UK) and Leiden (NL)

Your Profile

We are looking for a highly motivated data scientist with a strong background in building Machine Learning (ML) and Deep Learning (DL) models, and develop statistical solutions based on OKRA’s proprietary technologies.

  • You have a strong track record as an experienced ML data scientist to solve complex problems using AI

  • Proficiency with Python programming and ML frameworks

  • Familiarity with Agile way of working, JIRA, NLP libraries and AWS is a plus

  • You have great attention to detail, an analytical mind and problem-solving aptitude

  • You are courageous, determined and competent in delivering ML solutions in a fast-paced environment – assuming it is always going to be tough

  • You are passionate about solving real-world healthcare and life sciences problems with machine learning

  • You are transparent, a straight talker and respectfully blunt

  • You are able to right a wrong decision, give credit to others and extend trust to your colleagues

  • Clear oral and written communication

Preferred qualifications:

  • Master’s or Doctorate’s degree in quantitative disciplines

  • Academic or industry work experience as a senior data scientist

  • Applied experience with designing and building machine learning models on noisy and unstructured data

  • Ability to support and mentor more junior colleagues in the team

Who We Are

We are using artificial intelligence to transform healthcare as we know it.

85% of health executives in the US believe that, within the next three years, all humans will be directly impacted by AI-based decisions every day. We are on a mission to be at the core of this shift, by creating the world’s most credible AI analytics engine. Read more about us here.

Our Values

We aim to build a trusting, fun and creative environment. We place our faith in smart, independent and competent team-mates, working together to achieve maximum impact. Find out more about our culture on our main careers page.


  • Creative autonomy - join a small team with a high level of responsibility

  • Young, vibrant and diverse coworkers with impressive experience

  • 25 days annual leave

Any questions? Email us at:

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