Counsel Health is an AI-enabled, physician-supervised virtual care company on a mission to multiply the world’s clinical capacity. We believe in a future where every person has a perfect doctor in their pocket, always available, infinitely knowledgeable, and deeply personalized. To achieve this, we’re building the first fully vertical, AI-enabled medical group from the ground up, redesigning the entire clinical stack with custom AI tools that make our in-house physicians faster and smarter without compromising security or patient safety.
Since our founding in 2023, Counsel has partnered with leading employers, health plans, health systems, and channel partners, serving 100K+ members and on track to reach 1M+ more over the next 12 months. We have raised over $35M from a16z, GV, and other top-tier investors, and are on pace to 5x revenue this year.
Our founding team includes senior physicians and technology leaders from Harvard Medical School, Massachusetts General Hospital, UCSF, the MIT Media Lab, and Mount Sinai. Our broader team, coming from Stripe, NVIDIA, and Google DeepMind, is growing quickly, and we’re looking for exceptional people to join us at this inflection point.
About The Role
We are seeking a talented, driven, and experienced Senior 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 Be Working On
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.
Requirements
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.
You are a great fit if
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.
Impact: Be at the forefront of AI-augmented care delivery, tackling some of the most ambitious challenges in healthcare.
Growth: Professional development and leadership opportunities within a rapidly expanding tech-enabled care delivery organization.
Exposure: Gain hands-on experience in scaling a fast-growing healthcare technology company and directly interface with executives at the world’s leading healthcare organizations.
Compensation: Competitive salary and equity options.
Benefits: Competitive healthcare, vision, and dental, snacks and free lunch at the office.
