Join us on our journey to transform care.

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.

Primary Responsibilities:

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:

• Set up, configure, document and manage multiple internal and external client AWS environments on behalf of the Analytics team to ensure data protection, data availability, and robust, usable analytical environments (Terraform, VPC, S3, Sagemaker, EC2, IAM, VSCode, R Studio, Git and Github, Python with Pandas and Boto 3, etc.)
• Interface with client-side technical, clinical, and analytical teams to explain technical implementations and ensure proper AWS permissions and configuration
• Work cross-functionally with Engineering, Product, Analytics, Customer Success and external client teams to ensure data and analytic environment availability. Likely to include client-side model deployment and testing as well
• Support Analytics team tool implementations and report and template development (BI reportng, etc.)

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:

• 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 teams to document and launch new features, reports and analytics
• Conduct independent and guided research on healthcare-related topics with an eye toward business and analytical solutions

Requirements:

• Bachelor’s degree 
• Demonstrated knowledge of health care data subject matter 
• 3+ years of experience working with data and building analytics in a healthcare domain, preferably in a data analyst role
• 3+ years of experience setting up and configuring AWS environments for healthcare analytical purposes (Terraform scripts, VPC, IAM, CLI, instance sizing, etc.)
• 2+ years of experience using R or Python for analytics work, ideally in an AWS environment
• 2+ years of experience setting up, managing and working within EC2 instances and experience with other AWS and analytical technologies/tools (EC2, S3, Sagemaker, VSCode, R Studio, Git and Github, Python with Pandas and Boto 3, etc.)
• 1+ years of experience in a client-facing role (technical support, business analyst, implementation specialist, etc.)
• Demonstrated previous experience working with complex data sets and developing robust analytics and insights
• Experience with data validation and data quality assurance projects, including documenting data findings, and a passion for delivering quality results
• Proven ability to manage detailed work projects with high quality and strong ownership
• Proven ability to communicate and collaborate effectively in oral and written form

Preferred Qualifications:

• AWS certifications
• Previous consulting or product management experience
• Experience working with cancer or radiological data
• Ability to conduct code review and provide feedback on existing analytics and methodologies
• Experience evaluating, implementing, and working with Tableau or other BI reporting tools

For More Information, Please Send Resume To:
info@clairity.com

Clairity is seeking a Senior Software Engineer to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we build mammography-based machine learning (ML) applications that accurately predict the risk of cancer, personalize the plan of care, cultivate trust, and save lives. We want to expand our team with someone who shares our appreciation for the rapidly evolving power of big data and machine learning, and who enjoys bringing to production state-of-the-art applications to solve novel real-world healthcare problems.

The Sr. Software Engineer will be a key contributor of the Engineering organization. This individual with versatile software engineering skills and technical leadership abilities will be responsible for the design, implementation and maintenance of state-of-the-art ML-based cloud applications and will assist in the integration of these applications into customers’ clinical workflow. The Sr. Software Engineer will work closely with the cloud architect, ML engineers, SQA engineers, product managers as well as customers and data partners to develop commercial-grade cloud applications.

The ideal candidate will have a strong background in API development, cloud computing, big data software technologies applied to ML pipelines as well as experience in software reliability. The ideal candidate should be comfortable building software for a production environment to support ML applications as a medical device. He or she will have a strong understanding of data structures, best software development practices, and software architecture. The ideal candidate is a team player, highly motivated self-starter, accountable, committed to high quality deliverables, and enjoys working in a fast-paced environment.

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.

Primary Responsibilities:

• Participate in the full software development life cycle from requirement analysis through test, release, and maintenance
• Cultivate a culture of honest feedback and learning
• Design, document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
• Develop software applications to help curate, transfer, and de-identify medical imaging datasets
• Integrate logging, metrics, tracing tools to meet our observability goals
• Participate in developing APIs, integrations, and libraries that support our ML-based applications
• Assist with the performance optimization of applications (latency, scalability)

Requirements:

5+ years of experience in the following:

• Software development in regulated environments such as Healthcare IT and Medical Imaging that conform to standards such as HIPAA and SOC2
• Building systems that demonstrate Well Architected Cloud Principals on AWS or other major cloud providers
• Advanced proficiency in a programming language such as Python, Go, Java, or C++
• Agile Development methodology
• Working with medical communication standards such as DICOM and HL7 standards

Education:

• Bachelor’s degree in Computer Science or other advanced technical degree preferred.

For More Information, Please Send Resume To:
info@clairity.com