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Research Scientist

Counsel Health

Research Scientist

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, directly interface with execs at the world's leading tech & healthcare orgs

  • Growth : Significant opportunities for broad ownership and professional development within our rapidly scaling startup

  • Compensation : Competitive salary + equity

  • Benefits : Comprehensive healthcare, vision + dental, 401K, Unlimited PTO, Parental Leave

Our Values
  • Patients come first. We are clinicians 1st, technologists 2nd. We act with patient trust/safety at the center of every decision.

  • Innovate with optimism. We are optimistic as we build the future of care delivery from first principles. Challenge the status quo when needed, no sacred cows.

  • Right answer wins. Debate openly and pick the strongest path. We optimize for the company, not functions. We win and lose as a team.

  • Simplicity over complexity. We choose clear, elegant solutions and avoid adding complexity that does not serve patients or the team.

  • Do fewer things, well. We focus, and hold ourselves to the highest bar and pursue excellence in those areas.

Vacancy posted 1 day ago
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