Hybrid Data Scientist, Healthcare AI Deployments

Define Ventures; New York (NY); Hybrid; USD 150,000 - 180,000; Full time

Job summary

Layer Health is hiring its first Forward Deploy Data Scientist to translate healthcare data into actionable insights and ML-ready pipelines. You’ll collaborate with ML, engineering, product, and customer success teams to validate data, build models, and deliver measurable value in clinical workflows.

Expect to deploy ML/LLM-based solutions and partner with health systems to understand data and goals. This role emphasizes data manipulation, rigorous methods, and cross-functional teamwork in a

Qualifications

• 2-3 years of professional experience in data science, with healthcare or clinical applications a bonus.
• Strong programming in Python and experience with ML/NLP libraries.
• Ability to communicate insights to technical and non-technical stakeholders.

Responsibilities

• Translate messy healthcare data into actionable insights and ML-ready pipelines.
• Design and execute data and ML investigations on structured and unstructured data.
• Deploy and operationalize ML/LLM models with engineering and product teams.
• Work with customer success and product teams to improve user engagement through data-driven analyses.
• Communicate results clearly to clinical, technical, and product stakeholders.
• Build reusable playbooks and best practices to accelerate future implementations.

Skills

Data science

Communication

Customer collaboration

Tools

Python

PyTorch

TensorFlow

HuggingFace

Airflow

MLflow

dbt

Docker

cloud ML platforms

Job description

Layer Health is hiring its first Forward Deploy Data Scientist to translate healthcare data into actionable insights and ML-ready pipelines. You’ll collaborate with ML, engineering, product, and customer success teams to validate data, build models, and deliver measurable value in clinical workflows.

Expect to deploy ML/LLM-based solutions and partner with health systems to understand data and goals. This role emphasizes data manipulation, rigorous methods, and cross-functional teamwork in a