Date listed:
November 1, 2022

Head of Data Science

Position Description

At Evidentli, we are proud of developing technologies that solve the fundamental barriers to healthcare’s digital transformation. To help us continue innovating in this complex and ever evolving field, we are in search of a strategic and innovative leader to be our Head of Data Science and look to revolutionise global health outcomes.

Specific Roles and Responsibilities

  • Be a key advisor and subject matter expert
  • Work closely with the Chief Scientific Officer to define and oversee the execution of the data science strategy in order expand the product horizons of Evidentli’s future software offerings
  • Work with multiple stakeholders including customers, product managers and developers to understand the unmet needs of the customer
  • Keep abreast of emerging technologies and innovate using multiple AI algorithms and modalities, in the context of digital healthcare environments to produce the next generation of technologies that exceed customer expectations
  • Lead a small but growing team of data scientists, providing mentorship, support and supervision

Required Skills

  • Experience developing and using multiple AI and ML technologies 
  • Demonstrated understanding of sound evaluation principles for AI and best practices
  • Good understanding of relational databases including knowledge of SQL
  • Ability to code in a scientific programming environment like R, Scikit, BERT and bionlp.
  • Work autonomously and independently, driven by the desire to create a healthier world
  • Ability to adapt and learn from setbacks to produce non-compromising results
  • Ability to interpret statistics and explain the “story” they tell
  • Strong leadership, problem solving, critical thinking, and communication skills with the ability to present technical solutions in a simple manner  
  • Masters degree in a relevant research area or equivalent experience

Desired Skills

  • Experience working with healthcare data and open standards
  • Experience working with OHDSI CDM (OMOP) and tools
  • Understanding of FHIR and X-on-FHIR technologies
  • PhD and/or postdoctoral experience in a relevant research discipline including publication in peer reviewed journals


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