We are seeking a Cloud Data Analyst/Engineer (Healthcare) 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 Cloud Data Analyst/Engineer (Healthcare) at Clairity is an exciting hybrid role for those who enjoy setting up and maintaining Cloud environments and 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 configuring and maintaining AWS analytical environments (~40% of time) as well as using data and analytics to evaluate partner data and to create new features, new reports, and new insights (~60% of time).
Though not directly involved in AI model development, the role will support teams that are developing machine learning and AI models by establishing infrastructure, landing and preparing datasets, and analyzing and interpreting results.
Because this is an entrepreneurial position, candidates must demonstrate strong project ownership along with critical thinking skills and a deep commitment to delivering high-quality and practical results. Candidates also require excellent communication skills to thrive in our highly collaborative, cross-functional environment. They will also need to demonstrate strong judgment in identifying risks, proposing solutions, and escalating issues effectively.
Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is located in Austin, TX and has raised ~$29 million to date in funding from investors. The location of the position is flexible within the United States, with the ability to work remotely from home.
This position is a hybrid role: 40% focused on AWS and data tool configuration and maintenance, and 60% focused on healthcare data analytics.
Cloud Responsibilities (40%):
Candidates must be comfortable with implementing and maintaining Cloud analytical environments (AWS, Github, EC2 instances, VSCode, R Studio, etc.) in addition to building and delivering healthcare analytics within those environments. Prior experience with protected healthcare data and its security requirements is a must. Candidates must know how to appropriately secure an AWS environment. Specific responsibilities include:
Healthcare Data Analysis Responsibilities (60%):
Candidates will work in partnership with the Associate Director of Data & Analytics to build and run analytics on incoming partner data and on 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, value, and impact, and to explore development of new products. Specific responsibilities include:
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