Teams at Counsel Health

Own post-sale relationships for healthcare and health-tech clients, leading implementations, launches, adoption, executive business reviews, account health, renewals, and expansions. Build implementation playbooks and post-launch operating processes while managing complex cross-functional projects and multiple enterprise accounts. Partner with health plan and health system leaders to communicate performance, resolve risks, drive engagement, and support long-term client growth.

Conduct research advancing healthcare AI, including model evaluation, clinical benchmarks, human assessments, health-focused model development, agentic systems, prototyping, and simulations. The role involves pre-training and post-training workflows, research publications, collaboration with clinical and engineering teams, and sharing research practices. Candidates will apply expertise in machine learning, natural language processing, clinical data, and healthcare data standards such as FHIR and OMOP.

Lead frontend design and implementation for patient and physician products, shape frontend architecture (design systems, state, testing, performance), integrate AI/LLM features with backend/ML teams, and deliver polished, accessible, high-performance interfaces in a hybrid NYC/Boston environment.