Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re building a team of clinical abstractors for our GWTG work (specifically focused within Stroke and Heart Failure). This is a remote (US only) part time (~15 hours per week) contractor opportunity.

What you'll do

• Assist with case abstraction under the direction of a Team Leader
• Complete assigned abstractions in a timely manner 
• As a start up  organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

What you'll need

• 1+ years abstraction within the GWTG Stroke or Heart Failure Registry (this is a 100% requirement)
• Exposure to multiple patient medical record systems (EMRs) and clinical databases.
• Ability to thrive in a fast and ever-changing environment.

Expected compensation range for this role is $28-35/hour and this is a part time contractor role for ~15 hours per week. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. 

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re building a team of clinical abstractors for our CathPCI work. This is a remote (US only) part time (~15 hours per week) contractor opportunity.

What you'll do

• Assist with case abstraction under the direction of a Team Leader
• Complete assigned abstractions in a timely manner 
• As a start up  organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

What you'll need

• 1+ years abstraction within the CathPCI Registry (this is a 100% requirement)
• Exposure to multiple patient medical record systems (EMRs) and clinical databases.
• Ability to thrive in a fast and ever-changing environment.

Expected compensation range for this role is $28-35/hour and this is a part time contractor role for ~15 hours per week. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. 

About us

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

We’re seeking exceptional engineers to join us as early members. Together, we will create the AI layer that will redefine healthcare for the better.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

In this role, you will lead the design and implementation of key parts of our platform. This role can be hybrid (2-3 days per week in office) in either our Boston or NYC office.

You can expect to:

• Develop the backend for new product features, including implementing new data models and new APIs.
• Re-architect our databases and data infrastructure for scalability, security and reliability.
• Implement integrations with customer databases (e.g., EHR backends) and partner cloud data warehouses (e.g., Snowflake).
• Design, build, and maintain scalable and performant APIs and microservices on our core backend infrastructure. 
• Develop reliable, scalable services and client libraries on large amounts of data in the cloud.
• Innovate and implement robust data models and infrastructure that cater to various technical and business constraints for regulated areas.
• Collaborate on a cross-functional team to design and ship new product features/experiences. 
• Cultivate a robust engineering and product culture that drives the company forward.

We look for:

• 5-7+ years of experience in backend and cloud platform software development, with the ability and flexibility to traverse the stack when necessary. 
• Experience in ingesting and processing massive amounts of cloud-native data, with a focus on building scalable data pipelines and infrastructure.
• Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
• Fluency in one or more programming languages, e.g. Python, Java, C, C++, Rust, or Go. 
• Fluency with modern, cloud-native tech stacks and frameworks.
• Experience with infrastructure as code and cloud deployment frameworks like Kubernetes, Helm, and Terraform.
• A strong communicator who thrives in a customer-focused, fast-paced environment. 
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.

Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.