Job Description

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 looking for a dynamic individual to join us as a Solutions Engineer, working with health system customers to pilot clinical solutions using the Layer Health platform.  Working alongside another Solutions Engineer on our team, you'll leverage your technical expertise and understanding of both healthcare workflows and healthcare integrations to collaboratively build bleeding-edge prototypes of clinical solutions and help discover the next generation of applications through participative design and iterative development with customers, including some of the largest healthcare systems in the country.  You'll collaborate closely with the Customer Success, Sales, and highly engaged Product Engineering teams to understand customer needs, rapidly prototype solutions, and successfully implement lightweight pilots. You will be instrumental in bridging the gap between clinical requirements and technical solutions for our flagship product, and you will be a pioneer for use case and product discovery for the company.

What you’ll do

• Partner with the Clinical Informatics and Customer Success teams to understand customer challenges and work collaboratively to develop and pilot clinical solutions that leverage the Layer Health platform.
• Work closely with Engineering to encourage best practices, adopt the latest developer tooling, and assess feasibility of translating proof-of-concepts into production.
• Produce documentation, including technical design and architectural diagrams, for these solutions. 
• Provide technical troubleshooting and support for clinical solutions.
• As part of the Clinical Informatics team, work to align solutions with clinical workflows, standards, and integration pipelines.
• Work closely with Product so that lessons learned from pilots translate to future product roadmaps.
• Work with Clinical Informatics to streamline the initial testing and validation of integrations with Health Systems (FHIR, HL7, etc.)
• Perform initial exploratory data analysis (EDA), working with our ML and data science teams to make sense of clinical data for downstream uses.
• Stay current with industry trends, clinical standards, and emerging technologies relevant to clinical solutions.

What you’ll need

• 3-5 years of experience deploying solutions into health care systems in a solutions engineering, clinical informatics, or technical sales role.
• Strong understanding of clinical workflows, data, and standards (e.g., HL7, FHIR).
• Fluency in Python, Pandas, standard API frameworks, and other common programming languages and libraries.
• Deep understanding of HIPAA and requirements for deploying secure solutions.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work collaboratively across internal teams.
• Passion for transforming healthcare with state-of-the-art AI technology.

Expected compensation range for this role is $180,000-200,000. 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.

Job Description

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 hiring an empathetic, fast-learning Product Designer to shape the future of how healthcare professionals interact with AI. In this role, you will own the end-to-end design process for our products, working closely within our Design team of one (with you, two!), engineering, product, and clinical teams to create intuitive and impactful experiences. You'll join our product design team as a critical hire, with a massive opportunity to shape the company and our products.

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

Job Description

We're hiring an experienced Product Designer to shape the future of how healthcare professionals interact with AI. In this role, you will own the end-to-end design process for our products, working closely with our engineering, product, and clinical teams to create intuitive and impactful experiences. You'll join our  product design team as a critical hire, with a massive opportunity to shape the company and our products, in conjunction with product managers and engineering.

You can expect to:

• Design and prototype interfaces that distill complex healthcare data into clear, intuitive experiences that users love.
• Craft rich interactions that empower users to efficiently navigate, analyze, understand, and take action on clinical information.
• Collaborate closely with user-focused product managers who deeply understand the product and collaborate side by side with designers, as equals. 
• Work alongside an awesome team of product-focused engineers, including a founding team from MIT with backgrounds in medicine, ML, and HCI.
• Design a product that will have an immediate positive impact on healthcare systems, with the potential to improve patient outcomes and lives.
• Engage with cutting-edge technologies, including LLMs and ML, to revolutionize healthcare.
• Shape our design culture, processes, and best practices as the second member of the design team, establishing the foundation for exceptional product experiences

We look for:

• 5+ years of experience in product design, preferably in enterprise and/or healthcare software
• Strong portfolio showcasing end-to-end product design, with a focus on interaction design and simplifying complexity in data-heavy applications
• Empathy for understanding user needs, especially for non-technical users in healthcare or analogous experience
• Experience becoming a designer that blurs the boundaries of disciplines using AI: if you’ve prototyped with Cursor/Windsurf/Figma Make, or if you’ve delved into Product with ChatPRD, you’re probably a great fit for this role!
• Strong communication skills to articulate design decisions in the context of business needs.
• Understanding of accessibility standards and best practices
• Experience working with early-stage products
• A proactive problem-solver with a strong sense of ownership and independence
• An adaptable team player eager to innovate in the healthcare industry

Location:

This role is hybrid, requiring two in-office days per week at either our Boston or NYC location. Candidates in the Greater Boston or NYC metro areas are encouraged to apply.

Why Join Us?

• Be an early designer at a rapidly growing startup
• Shape the future of healthcare technology
• Work with cutting-edge AI/ML technology, including LLMs
• Competitive compensation, equity, and benefits packages
• Flexible PTO policy
• Professional development opportunities
• Work with an awesome team!

Expected compensation range for this role is $150,000-200,000, 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.

Job Description

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 an exceptional candidate to join our company as a part of the growing Clinical Informatics team. Together, we will create the AI layer that will redefine healthcare for the better.

What you'll do:

• In collaboration with the Customer Success and Product teams, perform detailed workflow analysis at client hospitals to understand clinical workflows and help design AI-based interventions.
• Contribute to and help maintain an advanced interoperability layer, transforming FHIR, HL7, CCDA, and other common data standards to a common data layer.
• Contribute to the design and development of an advanced data layer that supports both machine learning R&D as well as real-time inference for embedded clinical applications. 
• Use your strong clinical and informatics knowledge to participate in data modeling, harmonization, normalization, and transformation efforts.
• Work collaboratively in a fast-paced environment with cross-functional teams including engineering/research, customer success, and business to execute on the informatics vision and help invent the next iteration of human-AI collaboration in healthcare.
• Create excellent documentation to allow other team members to self-serve on internal and external informatics topics, previously defined workflows, and data sources.

What you'll need:

• You are an exceptional Clinical Informatician with significant experience in analyzing and redesigning healthcare IT workflows and a history of successfully launching new products/features in a hospital setting (EPIC, Cerner, etc.).
• You are eager to tackle new challenges and quickly acquire new skills and abilities. You thrive in an environment primed for innovation at every level: theoretical machine learning, user interface design, human-AI collaboration, etc. 
• You excel at algorithmic thinking and have fluency with at least one programming language (preferably Python) as well as beginner to intermediate SQL skills.
• You have a working knowledge of natural language processing (NLP) methods.
• You have an understanding of common healthcare standards and ontologies (FHIR, HL7, ICD10, CPT, RxNorm, etc.)
• You are a MD/DO Physician who has completed primary specialty training (residency)
• You have advanced training in clinical informatics, through fellowships, post-graduate training, advanced degrees (master’s or PhD), or work experience.
• You’re adaptable and excited to work in a fast-paced environment that is ambitious, changing rapidly, and often breaking new ground.
• You have exceptional verbal and written communication and presentation skills.

Expected base salary compensation range for this role is $200K-$260K (plus equity). 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.

Job Description

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 outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. 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

We’re hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.

You can expect to:

• Design and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization).
• Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels  
• Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. 
• Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning.
• Collaborate with the broader engineering team to ship performant products that meet user needs.
• Cultivate and foster a robust and thoughtful R&D culture that drives the company forward.

We look for:

• Exceptional methodological research background and experience, including but not limited to:
• A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning.
• High-impact, early-author publications at top peer-reviewed ML journals/conferences.
• Demonstrated record of delivering real-world impact from start to finish– with the ability to design, develop, and ship innovations.
• Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax).
• Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques).
• 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. 
• Past experience in healthcare of life sciences is a plus, but not required.
• We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).

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.

Job Description

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 outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. 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

We’re hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.

You can expect to:

• Architect efficient, secure, reliable, and performant ML pipelines and infrastructure.
• Design, develop, and maintain scalable/data-centric backend infrastructure for our product.
• Translate start-of-the-art LLM research (both internally developed and from the community) into production, delivering value for our customers.
• Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment.
• Develop methods and features to ensure high-quality results for our production models (methods to detect drift/performance degradation; develop observability tooling for performance characteristics, etc.).
• Collaborate with the broader product, engineering, and research teams to improve our products and build the next-generation of ML for healthcare.
• Build scalable infrastructure to ensure we can scalably support efficient model development and deployment pipelines, CI/CD, testing/experimentation.
• Ensure robust monitoring, logging, and error handling for deployed systems.
• Stay updated on the latest advancements in machine learning and AI.
• Cultivate a robust ML engineering and product culture that drives the company forward.

We look for:

• 3+ years of experience in building ML-native backend infrastructure.
• 5-7+ years of experience in backend and cloud platform software development, with the ability and flexibility to traverse the stack when necessary.
• Fluency in one or more backend programming languages including Python, Golang, Rust, Java (we use Python).
• Familiarity with modern ML/LLM techniques and frameworks.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, and monitoring; bonus if involving LLMs).
• Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. 
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team, in a customer-focused and fast-paced environment. 
• We are a Boston-based company, and expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $160,000-200,000, 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.

Job Description

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 outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.

We’re hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.

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

You can expect to:

• Translate start-of-the-art LLM research (both internally developed and from the community) into production, delivering value for our customers.
• Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment.
• Develop methods and features to ensure high-quality results for our production models (methods to detect drift/performance degradation; develop observability tooling for performance characteristics, etc.).
• Collaborate with the broader product, engineering, and research teams to improve our products and build the next-generation of ML for healthcare.
• Ensure robust monitoring, logging, and error handling for deployed systems.
• Stay updated on the latest advancements in machine learning and AI.
• Cultivate a robust ML 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.
• Fluency in one or more backend programming languages including Python, Golang, Rust, Java (we use Python).
• Familiarity with modern ML/LLM techniques and frameworks.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, and monitoring; bonus if involving LLMs). – this is a bonus and not a requirement
• Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. 
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team, in a customer-focused and fast-paced environment. 
• We expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $210,000-250,000/year, 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.

Job Description

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 hiring our first Forward Deploy Data Scientist. You’ll work directly with customers and internal teams to translate messy healthcare data into actionable insights and machine learning–ready pipelines. You’ll work hand-in-hand with our world-class ML and broader engineering team, as well as our product and customer success teams.

You’ll partner with our health systems & hospital IT/data teams, as well as internal Customer Success Managers, product managers and software engineers to validate data pipelines, share insights, and ensure our solutions deliver measurable value in clinical and operational workflows. This is a hands-on, high-impact role—ideal for someone who loves working with data, solving ambiguous problems, and collaborating across technical and non-technical stakeholders.

What you'll do:

• Partner directly with health systems and hospital customers to understand their data, workflows, and goals, sharing data insights that enable our customers to understand our product value and areas of opportunity.
• Design and execute data and ML investigations— validating, and transforming large structured and unstructured healthcare datasets with state of the art models to ensure accuracy and trustworthiness.
• Deploy, build, and operationalize ML and LLM-based models and analytics pipelines in collaboration with the broader engineering and product teams.
• Work hand-in-hand with customer success and product teams to understand and improve user engagement through data-driven analyses.
• Communicate results and insights clearly to technical, product, and clinical stakeholders.
• Build reusable playbooks, tools, and best practices to accelerate future implementations and improve customer outcomes.
• Stay current on emerging ML, NLP, and healthcare data technologies and proactively apply them to real-world clinical problems.
• Contribute to a culture of collaboration, innovation, and rigor across the data science and product teams.

We look for:

• 2-3 years of professional experience in data science (a proven track record of successful projects in healthcare or clinical applications is a bonus, but not required).
• A strong communicator who thrives in a customer-focused, fast-paced environment – must be comfortable presenting to external customers and have a partnered/strategic mindset.
• Strong programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.). 
• Experience with ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms).
• Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus).
• Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically.
• Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• Willingness to be hybrid with our team in either our Boston or NYC office 2-3 days per week

Nice to have:

• Familiarity with Epic, Cerner, or other EHR systems.
• Experience in forward deploy, field data science, or consulting-style roles.
• Background in AI/ML for healthcare, clinical analytics, or real-world data.

Expected compensation range for this role is $150,000 – 180,000. 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. 

Job Description

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 outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.

We’re currently looking to hire our first ML Engineering Manager to help mentor our team and oversee ML strategy. This is a hybrid role in our Boston or NYC office; you will work closely with our engineers, ML scientists, and product teams to enable our team to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.

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

What you’ll do

• Provide technical leadership and management to a small, high-leverage team of ML Engineers, Research Engineers, and ML/Data Scientists. Act as a player-coach: you’ll set direction while remaining actively involved in design, experimentation, and implementation.
• Drive the development of end-to-end ML systems—from shaping ambiguous problems into clear model requirements, training datasets, evaluation frameworks, and model architectures, to supporting reliable production deployment.
• Help craft and drive the ML technical agenda in partnership with engineering, research, and product leadership, ensuring the roadmap aligns with company goals and high-impact opportunities.
• Lead rigorous experimentation and model evaluation, ensuring our LLM systems meet clinical-grade performance and reliability requirements.
• Work closely with our engineering team to integrate and scale models in production, optimize inference efficiency, and maintain strong observability and monitoring.
• Establish and champion best practices in modeling, code quality, reproducibility, and experiment design—helping define “what incredible looks like” for ML at an early-stage, mission-driven health tech company.
• Communicate technical work clearly to cross-functional partners and leadership, translating ML developments into strategic implications for the business and product.
• Recruit, cultivate, and inspire the next generation of technical talent as the team grows.

What we look for

• Degree in computer science, mathematics, physics, or a related field.
• 7+ years of hands-on ML experience, ideally including LLMs or NLP; healthcare exposure is a plus but not required.
• 2+ years of technical leadership experience (formal or informal) where you’ve guided teams, set direction, and mentored others and 1 or more years formal management experience.
• Deep ML expertise: model development, training workflows, data pipeline design, evaluation methodology, and production deployment.
• Strong Python fluency and experience with modern ML tooling and infrastructure.
• Comfortable owning production-level data pipelines, monitoring, and performance analysis.
• A strategic thinker who can also dive deep into hands-on implementation when needed.
• Thrives in fast-paced, high-autonomy environments with evolving requirements.
• Excellent communication and collaboration skills.
• A passion for transforming healthcare with state-of-the-art AI.

Would be nice

• Previous early stage startup experience (and a love for it)

Expected compensation range for this role is $250,000-275,000. 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.

Job Description

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 currently hiring a Head of Finance to be the senior financial mind inside the company — reporting to the Head of Operations and working directly with the CEO and board. This is a rare kind of seat: outsized ownership over a company's financial trajectory at a genuine inflection point, with a clear path to grow into more responsibility as the company scales.

THE OPPORTUNITY

• Own the financial narrative. Today, critical financial modeling and reporting are being pieced together ad hoc by leaders who have other full-time jobs to do. You'll build the frameworks and models that make sense of a business scaling this fast, and turn it into a story the board and investors can trust.
• Be the person who goes deeper than anyone else. Leadership needs someone who won't settle for a topline number — who will dig into what's actually driving spend, growth, or risk, and surface the real answer before it becomes a problem or lost opportunity.
• Sit at the center of capital strategy. As the company prepares for its next raise, you'll work directly with the CEO, leadership and board to shape how Layer's financial story gets told — and get real exposure to what a raise looks like from the inside.
• Grow into more. This is an early, high-trust seat on a small team. As you prove yourself, there's a real path to taking on more scope and seniority as the company scales toward and past its Series B.

YOUR BACKGROUND

• 5+ years start up, investment banking, private equity, venture capital, or corporate finance.
• Willing and able to work with the key financial and operational systems needed to run a high-performing finance and accounting function.
• You work well across the organization — partnering with Sales, Legal, Operations, and Tech leadership to manage contracts, negotiate vendors, and keep the business running efficiently.
• Highly detail-oriented — you don't just trust the model, you understand what's underneath it.
• A sharp, confident communicator who can hold their own in a room with experienced investors.
• Bachelor's degree in Finance, Accounting, or a related field.
• Direct exposure to a fundraising, M&A, or due diligence process is a plus.

Expected compensation range for this role is $160,000 -$200,000. Compensation is dependent on experience and overall fit to our role. 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.

Job Description

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.

Layer Health is adding a Customer Success Manager to our current team of two. Reporting into the Head of Customer Success, you will be pivotal in driving our customer experience and maintaining their long-term partnership with Layer Health, focused on relationship management, and adoption/renewals. You'll own key existing hospital and healthcare customers, working with internal and external teams to relay product feedback, build metrics and report out on success and ultimately inform the framework of our Customer Success strategy. This is a unique opportunity to join an early stage startup that's reached a major growth inflection point.

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

Job Description

What you'll do:

• Own existing customer relationships to create successful partners 
• Serve as the primary point of contact for customer, including questions, issues and escalations
• Proactively identify opportunities to drive customer satisfaction and retention 
• Manage cross functional efforts in service of customer success, including
• Establish trust and credibility with healthcare stakeholders, including clinicians, IT teams, and operations leaders
• Help build internal processes and playbooks as we scale the function

What you'll need:

• 3-5 years of healthcare-focused experience in Customer Success, Program Management, or a client-facing implementations/support role 
• Excellent communication and relationship-building skills 
• Comfortable working in a fast-paced, evolving startup environment 
• Strong project management instincts; ability to drive despite ambiguity 
• Curious, proactive, and energized by solving complex problems
• You’re looking forward to working with our in-person teams in Boston or New York City (this role is hybrid three days per week in either location).

What we'd love to see:

• Exposure to clinical or related workflows (RCM, CDI) 
• Familiarity with tools like Smartsheets, Notion, Slack or project management platforms 
• Experience implementing in EMRs 

Expected compensation range for this role is $140,000-160,000. 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.