Join us on our journey to transform care.

Clairity is looking for mission-driven, thoughtful, motivated individuals to become integral players on our team. We are committed to mentoring and growing our employees while offering them the autonomy and responsibility to have a major impact. Our work environment is flexible, but our community is bonded by the exhilaration we feel as we work together to empower patients and change the way care is delivered around the globe.

Clairity supports diversity, equity and inclusion both in our solutions and as we grow our organization. We actively encourage people of color, humans of all genders, members of the LGBTQ+ community, veterans, individuals with disabilities, and all other beautifully diverse people on this planet to apply.

Open Positions

Clairity does not communicate with candidates via Telegram or other text-based formats. If you've received text-based outreach that claims to be from a Clairity representative, please report your experience immediately via our Contact page.

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 a Software Quality Assurance (SQA) Manager 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 market state-of-the-art ML solutions to solve novel real-world healthcare problems.

The SQA Manager will be responsible for all aspects of quality control throughout the software development cycle. This involves continual development and implementation of rigorous testing methods and procedures to evaluate the quality of the developing software. The SQA Manager will work closely with the regulatory team as well as software, ML, and customer support engineers to spur changes in Clairity’s software development process.

We are seeking a software quality assurance manager with prior experience as SQA manager in the regulated healthcare IT and medical imaging industries. He or she will have experience in validating ML-based software products and familiarity with test automation tools and frameworks, and Machine Learning Development principles. 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

  • Manage the company’s development and software quality assurance process
  • Lead the design and implementation of validation procedures, test plans, and test cases
  • Develop, write and manage the execution of an overall software test strategy
  • Lead efforts to enhance and make the testing process more efficient via test automation, improved tools and processes
  •  Organize testing and documentation efforts of every company software releases
  • Assist in the submission of regulatory filings
  • Lead, design and execute unit, system and end-to-end integration tests
  • Develop, maintain, and improve regression tests
  • Lead, design and implement testing of neural networks (black-box testing, white-box testing)

Requirements

  • 5+ years of experience as SQA manager in the medical imaging or healthcare IT industry
  • 5+ years of experience with test automation tools and frameworks
  • Experience of installing databases, VMs, computer networks, firewall, network security, and systems integration
  • Experience of python scripting, and API programming
  • Experience with testing of ML software components
  • Familiarity with DICOM configuration, connection testing and troubleshooting
  • Experience with PACS, EMR, and RIS systems
  • Knowledge of image sharing standards such as DICOM and HL7
  • Familiarity with automation software and tools such as Confluence, JIRA, Rally, TestRail, Greenlight Guru

Education

  • B.S. Degree in Computer Engineering, Electrical & Electronics Engineering, or related fields

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 Software 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) 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 Software Engineer will be a key contributor of the Engineering organization. This individual with versatile software engineering skills 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 Software Engineer will work closely with the cloud architect, ML engineers, MLOps engineers, SQA engineers, product managers as well as customers and data partners with the goal of developing commercial-grade cloud applications.

The ideal candidate will have a strong background in API development, cloud computing, and big data software technologies. The ideal candidate should be comfortable building software for a production environment to support ML applications as a medical software/device. He or she will have a strong understanding of best software development practices. The ideal candidate is a team player, highly motivated self-starter, 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 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

  • Participate in the full software development life cycle from requirement analysis through test, release, and maintenance
  • 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 applicable software development experience (ideally in healthcare IT)
  • 5+ years of experience in AWS cloud software development including Lambda, ECS, EKS, or similar distributed systems
  • 5+ years of experience in Python, Java, C++
  • 3+ years of experience of declarative languages such as XML, JSON, and YAML
  • 3+ years of experience in agile development
  • Familiarity with security standards such as SOC2 and HIPAA
  • Knowledge of DICOM and HL7 standards

Education

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

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