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Senior Fullstack Engineer

Layer Health · Boston · NYC

  • Software & SaaS
  • 11–50 employees

Weak hiring record · median 267 days open

9696

Hiring signal

Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

All reasons
  • 60% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

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Senior Fullstack Engineer at Layer Health. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

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

Job Description

We’re hiring an experienced product-minded full stack engineer to join our team. In this role, you will own the end to end development of new features and product experiences to supercharge Layer Health’s internal and customer facing applications.

You can expect to

  • Design, build, and maintain scalable and performant APIs and web applications.
  • Speak with customers to understand their needs and design solutions to address them.
  • 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.
  • Work closely with Layer’s engineers to design highly scalable, fast, and secure applications deployed in critical healthcare environments.

We look for

  • 7+ years of experience in full stack software development, with the ability and flexibility to traverse the stack when necessary.
  • Fluency in Typescript, React, and other modern web technologies (we use React).
  • Fluency in one or more backend languages (we use Python).
  • A strong communicator who thrives in a customer-focused, fast-paced environment.
  • A proactive problem-solver with a strong sense of ownership and the ability to work independently.
  • An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
  • We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome).

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.

Expected compensation range for this role is $180,000-220,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. 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.

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