Healthcare Data Analyst

We are seeking a Healthcare Data Analyst to support Clairity’s efforts to apply state-of-the-art algorithms to solve novel real-world healthcare problems. With an initial focus on breast cancer screening, Clairity is building a mammography-based machine learning platform that more accurately and equitably predicts the risk of cancer, personalizes the plan of care, and cultivates trust.

The Healthcare Data Analyst at Clairity is an exciting role for those who enjoy exploring healthcare data, developing new analytics, and helping to evaluate and expand product offerings.  The role reports into the Innovation Office and is a hands-on position which involves a mix of analytical and operational tasks that center on using data and analytics to evaluate partner data and to create new features, new reports, and new insights.

Because this is an entrepreneurial position, strong project ownership is required.  A deep commitment to delivering high-quality results and thinking critically about the work will also be vital.  The role will be responsible for moving analytical ideas beyond theory to make them functional and able to generate internal and client value.  Another key aspect of the role is being able to work cross-functionally and cross-departmentally with excellent communication skills – the candidate will need to communicate both analytical insight and technical details to multiple constituents.  They will be responsible for researching and experimenting with new ideas, turning those ideas into product or analytic concepts, and providing results to development or delivery teams for launch.  They will also need to have the judgment to identify risks and issues, propose solutions, and escalate effectively when needed.  

Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is an early-stage start-up located in Austin, TX and has raised over $8 million in funding from investors.

Primary Responsibilities:

The Healthcare Data Analyst will work in partnership with the Associate Director of Data & Analytics to build and run analytics on incoming partner data and machine learning model results to assess the usability of the incoming data and the performance of the ML models.  They will also support internal and partner research and marketing teams to design and generate analyses and visualizations to showcase product performance, relevance and impact, and to explore development of new products.  Specific responsibilities include:

  • Conduct independent and guided research on healthcare-related topics with an eye toward business and analytical solutions
  • Evaluate, review and characterize new data sets to determine quality and usability using existing code modules as well as writing new analytics from scratch
  • Develop, validate and use new and existing analyses and working prototypes which solve clinical and operational problems
  • Create and present reports on findings and project progress 
  • Work with product managers and developers to conduct technology transfer to productize new features and analytics
  • Work with customer-facing delivery teams to document and launch new features, reports and analytics


  • Bachelor’s degree 
  • 3+ years of experience working with data and building analytics in a healthcare domain, preferably in a data analyst role
  • Demonstrated knowledge of health care data subject matter 
  • 2+ years of experience using R or Python for analytics work, ideally in AWS or a similar cloud environment
  • Demonstrated previous experience working with complex data sets and developing robust analytics and insights
  • Experience with data validation and data quality assurance projects, and a passion for delivering quality results
  • Proven ability to manage detailed work projects with high quality and strong ownership
  • Proven ability to communicate effectively in both oral and written forms, and to document data findings

Preferred qualifications:

  • Previous consulting or product management experience
  • Clinical or healthcare experience working with cancer or radiological data
  • Ability to conduct code review and provide feedback on existing analytics and methodologies
  • Experience with Git, GitHub and Jira

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