Lead Applied Scientist (Machine Learning)

About the role

As a Lead Applied Scientist at Cohere Health, you will join a team of applied scientists and clinical experts to design, prototype, and deploy machine learning models that automate administrative clinical practices, working with both structured and unstructured healthcare data.

Key responsibilities

• Design and develop advanced machine learning algorithms for retrieval, classification, and generative use cases.
• Write and maintain reusable codebases for data preprocessing, model training, and evaluation.
• Provide scientific and machine‑learning best‑practice guidance to junior engineers.
• Collaborate cross‑functionally with product managers, clinicians, and technical leadership to align ML solutions with Cohere’s objectives.

Required profile

• 7+ years of applied ML experience with a master’s degree (or 5+ years with a PhD), preferably in a senior or lead role.
• Strong understanding of model building, maintenance, and production optimization.
• Experience designing experiments, collecting, measuring, and interpreting results.
• Expertise in Python and deep‑learning frameworks such as PyTorch.

Required skills

• Python programming.
• Deep learning frameworks (e.g., PyTorch).
• Building transformer models for NLP tasks.
• AWS SageMaker Studio.
• Working with unstructured healthcare data such as clinical notes.