Research Scientist
Counsel Health
- Location
- New York Office (Flatiron)
- Employment
- Full Time
- Work model
- Remote
- Level
- Mid
- Posted
- 1h ago
Skills
About this role
About Counsel Counsel’s mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we’re building the first fully-vertical, AI-native medical group from the ground up. We’ve redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [ learn more on our blog ] Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms. Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) — and we’re looking for exceptional people to join us as we scale. Join us as we build the future of AI in healthcare! ----------------------------------------------------- About The Role 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.
What You'll Do
Model Evaluation: Evaluate AI models on relevant clinical tasks using both automated benchmarks and human-based assessments to ensure safety and efficacy. Drive Research Impact: Write research papers to share findings and demonstrate impact across the team and the broader research community. Build Health-AI Models: Build end-to-end health-focused AI models, including pre-training and post-training workflows, specifically tailored for clinical environments. Create Novel Agentic Systems: 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. Prototype & Simulate: Develop prototypes or run simulations to assess research impact, finalize hypotheses, and refine methodologies. Knowledge Sharing: Help grow the research culture across teams by sharing research trends and practices within the community.
Who You Are
Advanced Degree: PhD degree in Computer Science, a related field, or equivalent practical experience. Technical Expertise: Experience in coding with Python, JavaScript/TypeScript, or R. AI/ML Specialization: Experience in agentic generative AI systems, Large Language Models (LLMs), and evaluation methodologies. Track Record: Publications in top-tier AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, or CVPR.
What You'll Bring
You have 5+ years of coding experience in Python, JavaScript/TypeScript, or R. You have 2+ year of experience owning and initiating research agendas. You have prior experience in healthcare research or working with clinical data. You are familiar with Healthcare Data formats, including FHIR and OMOP. You thrive on working alongside exceptional teammates and derive energy from collaborative environments. You are comfortable working in a fast-paced, high-growth environment where you can flex into both research and practical implementation.
Role
Location NYC - hybrid, Boston - hybrid, or Ireland - remote What We Offer Impact : Be at the forefront and contribute to groundbreaking, AI-driven healthcare experiences,