Staff Applied Scientist

The role

You will provide technical leadership to power and scale machine learning capabilities across products. You will apply machine learning, large language models, and agentic architectures to clinical and operational intake workflows.

What you will do

• Design, develop and evaluate advanced machine learning systems for retrieval, classification, prediction, and generative use cases.
• Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets.
• Lead model development across the ML lifecycle.
• Write and maintain reusable codebases for data preprocessing, model training, evaluation, and deployment.
• Collaborate cross-functionally with product, clinical, and engineering teams.
• Drive experimentation by defining problem statements and designing evaluation frameworks.
• Review, communicate, and present ML insights to technical and non-technical stakeholders.
• Serve as a technical mentor and advisor to junior engineers.
• Contribute as an expert advisor to shape ML strategy and performance tracking.

Required qualifications

• Master’s degree in Computer Science, Data Science, Machine Learning, or a closely related quantitative field.
• 7+ years of professional experience in applied machine learning or data science, including ownership of production ML systems.
• Deep expertise in Python and modern deep learning frameworks (e.g., PyTorch).
• Hands-on experience building and evaluating deep learning models (e.g., transformers) for NLP tasks.
• Strong understanding of experimental design, model evaluation, and optimization for real-world production environments.
• Experience leveraging cloud platforms across the ML lifecycle.
• Proven ability to collaborate with product, business, and clinical partners.
• Excellent written and verbal communication skills.

Nice to have

• PhD preferred
• Experience with generative AI, large language models, agentic systems, or Retrieval Augmented Generation (RAG)
• Experience driving automation in healthcare or regulated environments
• Familiarity with healthcare workflows such as claims, coding, utilization management, or network operations
• Experience working with unstructured healthcare data (e.g., clinical notes, OCR, document understanding)
• Hands-on experience with AWS tools such as SageMaker Studio
• AWS preferred

Before you apply

• Connect with Talent Acquisition partner
• Meet with the Hiring Manager
• Behavioral Interview(s)
• Case Study
• Interview with Senior Leadership

About the company

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs. The company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.