Join us on our journey to transform care.

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

Requirements:

• 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

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

Clairity is seeking an Machine Learning Operations (MLOps) Engineer  to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we will build mammography-based machine learning (ML) solutions 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 algorithms to solve novel real-world healthcare problems.

The MLOps engineer will be responsible for the model deployment and continuous monitoring of our production ML solutions. As a result, he or she will implement and manage our continuous integration, continuous delivery, continuous training, and continuous monitoring pipeline and processes. The MLOps engineer will work closely with ML engineers and software engineers with the goal of deploying commercial-grade ML solutions.

The ideal candidate will have a background in ML processes and possess experience in developing automated cloud-based ML pipelines for production. The ideal candidate is a team player, highly motivated self-starter, detailed-oriented with demonstrated ownership, accountability, and commitment to high quality deliverables.

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 ~$9 million 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:

• Design, implement and document standardized ML processes for ML Lifecycle Management, Model Versioning and Iteration, Model Monitoring and Management, Model Governance, Model Security, and Model Discovery

Requirements:

• 3+ years of developing CI/CD, Continuous Training, Serving and Monitoring pipelines for ML solutions in different environments such as dev, test, staging, pre-production and production
• Experience in promoting, developing, and leveraging reusable, composable and shareable containerized components across pipelines
• Experience in version control of ML models (code, data, config, model) and model registries
• Track record of developing unit tests (components, data, models) and integration tests
• Experience of progressive delivery such as A/B testing, Canary deployment, and multi-armed bandit is desired
• Practical experience of the following technologies:
  • Cloud: ML Managed services, preferably on AWS
  • ML: TensorFlow, SageMaker Pipelines, TensorFlow Serving SageMaker Clarify, SageMaker Ground Truth
  • Databases: data warehouse and relational databases
  • Deployment: Gitlab, Docker containers, AWS CodePipeline
  • Pipeline orchestration: AWS Step Functions, Kubeflow Pipelines, Apache Airflow, MLFlow, TensorFlow Extended
  • Streaming: Kinesis Streams, Apache Kafka
  • Application exchange: REST API, JSON
  • Programming languages: Python
  • Software tools: Git, GitHub, JIRA, Confluence

Education:

• Undergraduate degree in Computer Science or Engineering. Master’s degree in computer science or engineering preferred

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

Clairity is seeking an ML Engineer to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we will build mammography-based machine learning (ML) solutions 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 algorithms to solve novel real-world healthcare problems.

The Principal ML engineer will be responsible for the prototyping of state-of-the-art ML solutions as well as the management of Company’s ML research data pipeline. He or she will also assist in the collection, cleaning, and organization of large databases from heterogeneous data. The Principal ML engineer will work closely with research partners, data partners, data engineers, ML engineers, MLOps engineers, and software engineers with the goal of developing commercial-grade ML solutions.

We are seeking a Principal ML engineer with a strong background in the development and optimization of machine learning methods in medical imaging. He or she will have a strong experience of ML best development practices. The ideal candidate is a team player, highly motivated self-starter, with an innovative mindset and demonstrated ownership and commitment to high quality deliverables.

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 ~$9 million 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:

• Act as technical lead for all Company’s ML modeling and ML research activities
• Manage Company’s ML research data pipeline
• Conduct validation of research prototypes in collaboration with academic and clinical partners
• Provide scientific assistance for regulatory submissions
• Write publications in peer-reviewed literature and generate Intellectual Property materials

Requirements:

• 5+ years of software development in a corporate setting
• 5+ years of developing Computer Vision ML solutions for image analysis, image segmentation and image classification tasks
• Strong track record of publications and innovations
• Practical experience in the following areas:
  • ML architectures: CNN, RNN, Vision Transformers
  • ML toolkits: TensorFlow, Keras, scikit-learn
  • ML services: SageMaker Pipelines, MLflow
  • Serverless Computing: Docker containers, AWS Lambda, AWS Fargate
  • Pipeline orchestration: AWS Step Functions, Kubeflow Pipelines
  • Application exchange: REST API, JSON
  • Programming languages: Python
  • Software tools: Git, Gitlab, GitHub, JIRA, Confluence

• Experience developing image processing algorithms for image analysis, image segmentation and classification
• Strong mathematical and statistical background
• Experience of supporting scientific regulatory submissions
• Familiarity with ML production pipelines in AWS

Education:

Masters in Computer Science, Electrical Engineering or related discipline or equivalent industry experience. Ph.D. degree in Computer Science or Engineering preferred

For More Information, please send resume to:
info@clairity.com