Lead Applied Scientist

The role

You will design and develop advanced machine learning algorithms for retrieval, classification and generative use cases. You will work with clinical experts to deploy models that extract or predict clinical findings from structured and unstructured data.

What you will do

• Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases.
• Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation.
• Provide scientific and machine learning best practice guidance to junior engineers.
• Work cross-functionally with product managers, clinicians, and technical leadership.
• Assist the manager in all the information security activities implementation and maintenance process.
• Ensure the team is imparted with Competence related to Information security.
• Implement security policies and procedures and report issues to the Information Security Manager.

Required qualifications

• Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD
• Clear understanding of model building, model maintenance and the measures that optimize models for production use
• Understand experimental design and can independently perform collection, measurement, and interpretation of results
• Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
• Hands on experience building deep learning models (e.g., transformers) for NLP tasks
• MS or PhD required

Nice to have

• Experience with generative AI or Retrieval Augmented Generation (RAG)
• Experience working with unstructured healthcare data (e.g., clinical notes)
• Experience with OCR or image-based document understanding techniques
• Hands on experience using AWS tools such as SageMaker Studio

Before you apply

• Connect with Talent Acquisition
• 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 through an enterprise approach that streamlines payer-provider decision-making.