Principal Data Scientists (Machine Learning)

  • Location


  • Sector:

    Data Science

  • Job type:


  • Salary:

    Circa $200,000

  • Contact:

    Jason Rumney

  • Contact email:


  • Job ref:


  • Startdate:


  • Consultant:

    Jason Rumney

Intelletec has partnered with a leading healthcare provider who shares a common purpose: “helping people on their path to better health”! They are already transforming health care through innovations that make quality care more accessible, easier to use, less expensive, and patient-focused. 


Due to rapid growth, they are seeking a Principal Data Scientist where you’re be joining an elite team of MDs, PhDs, MBAs, and MSc from top tier universities and industries that bring their clinical, technical, and economic experience to bear on some of the toughest targets in healthcare – chronic disease.


Who they are looking for:

  • Healthcare data wizards that can help translate clinical hypotheses into data and


  • Data scientists with deep experience working with claims/healthcare data – particularly those that have an understanding of its implications, and its scientific and/or clinical value. 

  • Research and Development data scientists who have deep experience architecting and

evaluating cutting edge mechanistic and empirical models. 

  • Deep experience coding and developing pipelines, in coordination with our other spheres and our data engineering colleagues.


Skills and Qualifications:

  •  An expert (+5 years) in experimental design, causal and empirical modelling methods, model explainers, and healthcare data

  • Have 5 or more years of technical data science leadership, focusing on the application of ML to large datasets for healthcare or similar applications

  • Have deep (+3 years) clinical and research understanding of chronic diseases and their and associated disorders and comorbidities

  • Have deep (+2 years) technical experience in healthcare business case development, and med cost savings estimation

  • Have strong (+2 years) consultatory, clinical and commercial stakeholder management, and leadership skills, and


Preferred qualifications:

  • MD and/or PhD in a technical field or equivalent practical experience (e.g., PhD in machine learning, computer science, or statistics and modelling heavy engineering field (chemistry and bioengineering)).

  • A real passion for ML and experimental design.

  • A real passion for patients.