# Forward Deploy Data Scientist

**Company:** [Layer Health](https://hotfix.jobs/companies/layer-health)
**Location:** Boston, MA, New York, NY
**Role:** Data Science
**Salary:** $150k – $180k/yr
**Experience:** 2+ years
**Skills:** Python, PyTorch, TensorFlow, Hugging Face, Airflow, MLflow, dbt, Docker, Machine Learning, Natural Language Processing, LLMs, Data Science, Epic, Cerner, Healthcare Data
**Posted:** 2026-08-17

> The Forward Deploy Data Scientist will partner with health systems and internal teams to investigate healthcare data, build and operationalize ML/LLM pipelines, and deliver actionable insights. The role requires 2–3 years of data science experience, strong Python and ML/NLP skills, and customer-facing communication ability.

## Job Description

## Responsibilities
- Partner with health systems and hospital customers to understand their data, workflows, and goals, and share insights that demonstrate product value and identify opportunities.
- Design and execute data and machine learning investigations by validating and transforming large structured and unstructured healthcare datasets with state-of-the-art models.
- Deploy, build, and operationalize machine learning and large language model-based models and analytics pipelines with engineering and product teams.
- Collaborate with customer success and product teams to improve user engagement through data-driven analysis.
- Communicate results and insights clearly to technical, product, and clinical stakeholders.
- Build reusable playbooks, tools, and best practices to accelerate implementations and improve customer outcomes.
- Apply emerging machine learning, natural language processing, and healthcare data technologies to real-world clinical problems.
- Contribute to collaboration, innovation, and rigor across data science and product teams.

## Requirements
- 2–3 years of professional experience in data science.
- Strong communication skills and comfort presenting to external customers.
- Strong programming skills in Python.
- Fluency with modern data science and machine learning/natural language processing libraries, such as PyTorch, TensorFlow, and Hugging Face.
- Experience with MLOps tools such as Airflow, MLflow, dbt, Docker, or cloud machine learning platforms.
- Familiarity with modern applied large language model techniques.
- Strong data manipulation, treatment, and evaluation skills, including the ability to efficiently and methodically wrangle large, complex datasets.
- Willingness to work hybrid 2–3 days per week from the Boston or NYC office.

## Nice to Have
- Familiarity with Epic, Cerner, or other electronic health record systems.
- Experience in forward deployment, field data science, or consulting-style roles.
- Background in AI/machine learning for healthcare, clinical analytics, or real-world data.

## Compensation
- Expected compensation range: $150,000–$180,000.
- Compensation depends on experience, overall fit, and candidate location.

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