> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed Data Scientist

Canonical URL: https://nextmove.md/fde/jobs/c536d4e22f6f3560

Layer Health posts a FDE role to build what the customer runs in Boston, MA and 1 more, at $150,000–$180,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Partner directly with health systems and hospital customers to understand data, workflows, and goals, sharing data insights that demonstrate product value. Read from the employer’s posting on November 8, 2026.

- [Layer Health](https://nextmove.md/fde/companies/layer-health)

Posted Aug 17, 2026 by Layer Health · open on Greenhouse as of Nov 8, 2026

**$150,000–$180,000** Boston, MA +1 Hybrid, 3 days a week in office Full-time

Partner directly with health systems and hospital customers to understand data, workflows, and goals, sharing data insights that demonstrate product value.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fc536d4e22f6f3560&placement=top)
- [View posting at Layer Health](https://job-boards.greenhouse.io/layerhealth/jobs/5392521008)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$150K–$180K Below the median

Midpoint $165K · median $190K

This job $150K to $180K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **2+ years** professional experience in data science

Background

- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Boston, MA · New York, NY. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Boston, MA · New York, NY

- **Work arrangement**: Hybrid, 3 days a week in office

- **Remote work restrictions**: Boston or NYC office 2-3 days per week

- **Employment type**: Full-time

- **Pay**:

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## The job description from Layer Health

Posted by Layer Health on Aug 17, 2026

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.

[View posting at Layer Health](https://job-boards.greenhouse.io/layerhealth/jobs/5392521008)

## About Layer Health

LLM chart-review platform for health systems and life-sciences teams, extracting reliable evidence from longitudinal medical records for registries, quality, research, and pathways.

Series A · 10–50 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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