Machine Learning Data Analyst
Part-time, Remote
As a contract ML Data Analyst, you will help us collect and annotate data for use in a large machine learning projects. You will be part of a highly specialized team of multilingual PhDs, postdocs, M.Ds, and bioinformaticians who are bringing AI capabilities to healthcare delivery and medical insurance. Join a small collaborative community of world class researchers and engineers using your insights to help power the next generation of affordable and cost-effective healthcare!

Annotation Projects will be available directly through a web-based portal accessible anywhere, anytime. Work on your own time and be compensated for your contributions. We approximate roughly 10 hours of work per week.
About you

  • You are passionate about making use of your subject matter expertise in the life sciences and believe in the potential of AI to transform healthcare
  • You are extremely detail-oriented, and are willing to provide feedback to our engineers to improve the user interface tools used in the process
Your role

  • Annotate and label text or image data using de-identified electronic medical records, medical claims forms in different languages
  • Assist Lydia AI with predictions that Lydia has made about key individuals
  • Validate the clinical significance of patient clusters identified by Lydia AI

  • Master's degree in the life sciences, pharmacology, or equivalent discipline, or 2 or more years of experience in the healthcare industry
  • Availability for at least 10 hours a week
  • Good interpersonal and communication skills

  • Experience with clinical sciences
  • Experience annotating and labelling data, and or using annotation software such as Protege, brat rapid annotation tool
  • Experience with statistical measures used in survey instruments (e.g., inter-rater agreement) and data annotation
  • Able to work on-site at our office in Toronto, Ontario
Knowtions is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Tilda Publishing