Join us on our journey to transform care.

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

Clairity is seeking a Senior Product Manager to support our 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 Senior Product Manager will join the Innovation Office with a focus on defining and delivering software as medical device (SaMD) products which have computer vision AI models at their core, across multiple disease conditions and imaging modalities.  The role will require an end-to-end approach, from identifying detailed client needs through requirements specification and interfacing with engineering, to successful commercial launch.  This will include working through various FDA processes (De Novo, 510k, PMA) to gain FDA device clearance.  The Senior Product Manager will work cross-functionally, partnering externally with clients, prospects, and industry experts and internally with the C-suite, Strategy, Growth, Client Services, Innovation and Engineering teams as they define and deliver products.  The immediate priority of the role will be to assist in product requirement specifications and FDA submission for Clairity’s initial product launches.  

The ideal candidate will have a track record of successfully defining, developing, and shipping products that meet customer and market needs, a passion for science-grounded healthcare and patient outcomes, and experience in building software as a medical device and taking it through the FDA clearance process, including experience participating in a robust Quality Management System. A successful candidate will be energetic, curious, detail-oriented, and ready to engage with customers and work cross-functionally to create products that make an impact.

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

• Translate user needs and requirements into a product roadmap and then into epics, features and user stories, working with engineering to develop and maintain release timelines
• Work in partnership with engineering to manage the design, development and validation of Class II medical device functionality via agile software development ceremonies (backlog refinement, sprint planning, sprint demos, retros)
• Write Design Control specifications and populate and maintain Design History File documentation in our Quality Management System (eQMS)

Additional Responsibilities

• Interview clients and prospects to assess and document market and user needs and product requirements
• Represent the voice of the customer in product and feature prioritization discussions
• Write and review user documentation and collaborate on marketing collateral, while ensuring continuous regulatory compliance
• Conduct product launches, ensure proper post-market surveillance and prepare for and participate in FDA audits
• Research feasibility and market opportunities/needs in new clinical or market domains
• Collaborate with the Strategy and Growth offices to conduct market estimation, segmentation, competitive analysis and value analysis, then work with Marketing to establish product positioning
• Collaborate with internal and external technical and subject matter experts
• Become the subject matter expert (SME) for Clairity product offerings to support sales, implementations, and customer service teams and present product functionality, roadmaps and timelines to clients and investors

Required Qualifications

• Bachelor’s degree
• 5+ years of experience in healthcare and FDA-regulated medical devices, including experience working with Software as a Medical Device (SaMD) products
• 5+ years of experience as a product manager, including market need analysis, user persona development, competitive analysis, product requirements definition and product roadmap ownership
• Demonstrated history of taking products through FDA approval, launching FDA-cleared products, and building Quality Management System (QMS) documentation, especially for SaMD products
• Strong collaboration skills, including outstanding written and verbal communication skills, excellent client engagement, and a passion for building successful products
• Excellent team player – eager to pitch in, willing to contribute in diverse ways across the company, very hands-on

Preferred Qualifications

• Advanced degree in related field or specifically relevant industry experience
• Experience with launching SaaS/Cloud-based products to clients
• Experience successfully launching AI, software, or data products to clients
• Clinical or healthcare knowledge, especially in mammography, radiology or oncology
• Familiarity with machine-learning, including computer vision
• Healthcare start-up experience is a plus

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