Applied Research Scientist
Job Description
- Prior work in healthcare/clinical NLP with awareness of medical data standards.
- Experience running IRB-aligned or clinical-grade studies.
- Exposure to noisy/limited medical data and designing strategies to overcome constraints.
- Design and run experiments to measure accuracy, robustness, and hallucination rates in LLM agents.
- Build automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks.
- Partner with Research Ops/IRB to design efficacy studies and align with regulatory requirements.
- Translate research into production-ready evaluation systems, collaborating with engineering to land features 0→1.
- Develop error taxonomies, ablations, and guardrails to ensure safe and reliable agent behaviors.
- Proven experience designing agentic processes and LLM evaluation/benchmarking frameworks.
- Strong Python and ML background (PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex).
- Demonstrated ability to design rigorous experiments and translate findings into production.
- Track record of published research or deep applied work in LLMs and agent evaluation.
- Strong communication and technical writing skills to articulate complex findings clearly.
- Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.
- Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.
- Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.
- Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.
- Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.
About Sully.ai
Our mission is "One Human, One Doctor". We are creating superhuman doctors, because access to doctors is a basic human right.
Start with making doctors superhuman. Our vision is to eliminate doctor distractions and help them navigate the best treatments for their patients.
About the role
About Us
👏 Team from OpenAI, DeepMind, NASA, GoogleX, Tesla, and 2 physicians: 6 exits, 2 IPOs.
🔥 Our model outperforms Claude, Gemini, and GPT-4.5 on clinical benchmarks.
📈 400+ healthcare orgs signed in 16 months.
⚡️ $25M raised from YC, Amity Ventures, Sequoia scouts, and more.
🌎 $1T+ market opportunity. We’re going after all of it.
About the Role
We are seeking an Applied Research Scientist to design and run rigorous experiments for LLM-based agents, with a focus on clinical and agentic reliability. This role will own the development of automated evaluation frameworks, bridging research prototypes into production systems, and partnering closely with product and engineering to ensure safety, robustness, and measurable impact.
Key Responsibilities
- Design and run experiments to measure accuracy, robustness, and hallucination rates in LLM agents.
- Build automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks.
- Partner with Research Ops/IRB to design efficacy studies and align with regulatory requirements.
- Translate research into production-ready evaluation systems, collaborating with engineering to land features 0→1.
- Develop error taxonomies, ablations, and guardrails to ensure safe and reliable agent behaviors.
Hard Requirements
- Proven experience designing agentic processes and LLM evaluation/benchmarking frameworks.
- Strong Python and ML background (PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex).
- Demonstrated ability to design rigorous experiments and translate findings into production.
- Track record of published research or deep applied work in LLMs and agent evaluation.
- Strong communication and technical writing skills to articulate complex findings clearly.
Nice-to-Have
- Prior work in healthcare/clinical NLP with awareness of medical data standards.
- Experience running IRB-aligned or clinical-grade studies.
- Exposure to noisy/limited medical data and designing strategies to overcome constraints.
First-Month Focus
- Audit existing evaluation approaches for clinical and agentic tasks.
- Define initial benchmarks and build early automated pipelines.
- Partner with engineering to land first set of CI gates for accuracy, factuality, and safety.
Success OKRs (90 Days)
- Deliver a repeatable evaluation framework with automated pipelines in production.
- Demonstrate measurable improvements in robustness, hallucination reduction, or safety.
- Publish or present internal research findings that directly shape product reliability.
Culture Fit
- Persistent, driven problem solver
- Willing to push back on leadership to defend quality/timelines
- Thrives in high-ambiguity, fast-paced startup environments
Why Join Sully.ai?
🔥 Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.
📈 Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.
🌎 Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.
💰 Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.
🏆 Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.
Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.
