At Diagnostic Robotics, we imagine a world where clinicians, consumers, and health systems have access to all the information they need to make smarter, more cost-effective decisions about patient care. Our diagnostic solutions leverage artificial intelligence and predictive analytics models to make this world a reality. 

The successful Data Science Tech Lead will be an independent self-starter able to transform vague client business problems into tangible machine learning projects. As a Data Scientist Tech Lead you will lead research, high performant ML models, and custom data solutions.

This person will deliver intelligent machine learning-driven insights, predictions, and recommendations and solve real world problems with AI-based tools using billions of medical data entries. As part of the Data Science group, we publish literature and our products are used daily by millions of patients.

What you’ll do: 

  • Lead machine learning-based solutions to our AI product from research to production.
  • Connect relevant solutions and algorithmic approaches to unstructured problems and customer requests.
  • Lead research efforts with strong quantitative rigor to produce and evaluate material impact.
  • Lead the development and productionisation of tools to allow effective analytics, statistical modeling and faster development of company solutions.
  • Create algorithmic prototypes and transform them into shippable features and models in the fields of: causal machine learning, transfer learning, fairness, explainability and more.
  • Work closely with data engineers and physicians on medical datasets.
  • Define, develop and integrate business processes for faster ML cycle development and model serving.
  • Possibility to present work in conferences alongside empirical work.

To be successful in this role, you'll need:

  • M.Sc. in Computer Science, Electrical Engineering, or related field with publications at top tier machine learning conferences or journals.
  • 5+ years of hands-on experience building machine learning solutions for real world problems.
  • Experience in mentoring other data scientists.
  • Proven ownership with leading of projects from research to production.
  • Experience with medical datasets is an advantage.
  • Ability to deliver a data-driven decision making to different stakeholders.
  • 5+ years of experience with Python or other programming languages.


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