Research Scientist

Counsel Health•New York, NY

39d•$165,000 - $220,000•Hybrid

About The Position

We are seeking a talented, driven, and experienced Research Scientist to join us in defining the future of AI + human healthcare. As a Research Scientist at Counsel Health, you will bridge the gap between fundamental research and product innovation. You will set up large-scale tests, deploy promising ideas quickly, and apply the latest theories to develop new and improved health-focused AI products. From creating experiments and prototyping implementations to designing new architectures, you will work on real-world problems that span the breadth of computer science—including machine learning, natural language processing, and agentic systems—while collaborating closely with our clinical and engineering teams.

Requirements

PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in coding with Python, JavaScript/TypeScript, or R.
Experience in agentic generative AI systems, Large Language Models (LLMs), and evaluation methodologies.
Publications in top-tier AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, or CVPR.
5+ years of coding experience in Python, JavaScript/TypeScript, or R.
2+ year of experience owning and initiating research agendas.
Prior experience in healthcare research or working with clinical data.
Familiarity with Healthcare Data formats, including FHIR and OMOP.
Thrive on working alongside exceptional teammates and derive energy from collaborative environments.
Comfortable working in a fast-paced, high-growth environment where you can flex into both research and practical implementation.

Responsibilities

Evaluate AI models on relevant clinical tasks using both automated benchmarks and human-based assessments to ensure safety and efficacy.
Write research papers to share findings and demonstrate impact across the team and the broader research community.
Build end-to-end health-focused AI models, including pre-training and post-training workflows, specifically tailored for clinical environments.
Build agentic systems for both our patients and physicians. For example, you might build a system that pre-drafts prescriptions for the physician based on a user’s presenting complaint, their past medical history and the suspected diagnosis.
Develop prototypes or run simulations to assess research impact, finalize hypotheses, and refine methodologies.
Help grow the research culture across teams by sharing research trends and practices within the community.