Clinical Lead
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AI Summary
The Clinical Lead owns the quality and safety layer for the Medical Intelligence Team, ensuring AI-driven clinical content and protocols meet rigorous evidence-based standards. Responsibilities include creating clinical logic, governing AI algorithms, and performing safety audits to ensure safe patient routing and care delivery.
About the Role
We are looking for a Clinical Lead to own the quality and safety layer for Fabric's Medical Intelligence Team (MIT), the team that builds the clinical content, algorithms, and LLM-driven protocols at the heart of our platform. Everything MIT ships shapes how patients are routed and how care gets delivered at major health systems. Your job is to make sure all of it meets a rigorous, evidence-based clinical bar before it reaches a patient or a clinician.
This is a hands-on individual contributor role for a licensed clinician who has done formal clinical quality work and wants to define what quality looks like for AI-driven care. You will build the validation framework, set the evidence standard, run the review cadence, and be the clinical voice that says "this is safe to ship" or "this goes back." You will work alongside our Clinical Informatics Analysts and partner directly with our clinical quality leadership.
What You'll Do
As the Clinical Lead of the Medical Intelligence Team, you will apply your passion for patient care, clinical excellence, and fixing healthcare to the clinical logic and AI that power Fabric's patient-facing and provider-facing products, serving as the team's first-line voice for how the standard practicing clinician safely practices medicine. Your primary responsibilities will include:
- Clinical Logic Creation: Partner closely with Medical Intelligence Team staff to outline necessary questions, reference sources, first line treatments for predicted diagnoses, appropriate triage routing for particular answers, and patient education drafts.
- Clinical AI Creation and Governance: Partner closely with medical intelligence, product, and engineering to develop AI algorithms and quality assurance processes that ensure the Fabric product suite is addressing medicine's Quadruple Aim.
- Clinical Oversight: Provide first-pass reviews of clinical logic, safety concerns from safety audits, and other clinical decision-making documents. After initial reviews, present findings and recommendations with evidence-based support to the next most senior medical leader for review, edits, and implementation, as appropriate.
- Technical Expertise: Become proficient in the use of LLM and other AI tools to improve both the Medical Intelligence Team's efficiency and Fabric's products at-large by learning, experimenting, and iteratively exploring and implementing AI tools in the products and practice of the team.
- Technical Maintenance: As needed and as time allows, assist the Medical Intelligence Team with data analyses, platform implementations, and other improvements.
- Client Representation: Professionally represent Fabric in meetings with current and prospective clients, showcasing our expertise and commitment to innovative care.
- Deliver on Deadline: Produce deliverables with specific and sometimes short deadlines. These take many forms, including document creation, workflow reviews, and any other work part and parcel to the successful completion of these responsibilities.
- Ad Hoc Responsibilities: This being an evolving space, expect to be responsive to a variety of requests relevant to supporting Fabric's clinical logic products, the growth of the overall business, or the response to the unexpected.
Why You Might Be a Good Fit
- You have great ideas for improving healthcare and want to be a part of driving change, bringing new concepts to the table to innovate Fabric products in accordance with Fabric's mission and vision.
- You can translate complex medical decision-making into structured, logical workflows.
- You aren't just curious about AI; you are already experimenting with LLMs to automate your own tasks, summarize research, or improve your clinical efficiency.
- You enjoy being the bridge between technical engineers and frontline clinicians, capable of explaining a clinical safety risk to a developer and a technical constraint to a doctor.
- You naturally reach for EBM guidelines and peer-reviewed literature to defend your decisions, and you can synthesize that data into concise, actionable logic.
- You hold a high clinical bar and take pride in ensuring that everything you touch is medically sound, safe, and empathetic.
- You are self-motivated, comfortable with ambiguity, and able to manage work in an ever-changing, fast-moving environment with pivoting priorities and evolving processes.
- You bring a process-oriented approach with continuous workflow optimization, moving quickly while supporting high-quality output, client satisfaction, and new opportunities with tight deadlines in an evolving industry.
This Might Not Be The Right Fit If...
- You prefer direct patient care over the deep-work tasks described above; without bedside time, this role may feel isolating.
- You are uncomfortable with the evolving space of AI, where guidelines and tools change weekly, or with the ambiguity of a startup environment.
- You find cross-functional critique of your clinical judgement calls difficult; this role requires your clinical logic to be stress-tested by product managers and engineers.
- You prefer big-picture thinking only; this role requires in-the-weeds work, manually reviewing hundreds of logic strings, auditing AI outputs, and ensuring every clinical branch is correct.
- You prefer a strict clock-out mentality; while we value work-life balance, the pace of a growing health-tech company often requires ownership and responsiveness beyond a traditional shift-work mindset.
Your Qualifications
- 5+ years as an Advanced Practice Provider (e.g., NP, PA).
- Commitment to standard of care through unwavering dedication to current, accepted clinical practice guidelines and regulatory requirements.
- Expert in efficient literature review (differential diagnosis, indicated diagnostics, first line treatments, patient education, and triage), supporting all decisions with evidence whenever possible.
- You have applied AI agentic workflows in clinical practice or, at a minimum, are already using LLM and AI applications in your work and professional life.
- Aptitude for learning new technological tools to support sound clinical decision making.
- Proven ability to work well in multi-disciplinary teams outside of direct clinical care (for instance: quality improvement projects, clinical content development, or work outside of a clinical setting).
- Detail-oriented mindset with capacity to work deep in the weeds with big picture vision in mind (ability to zoom in and zoom out quickly).
- Positive, proactive, and clear communicator who collaborates well with MIT and cross-functional team members.
- Excellent verbal and written communication, comfortable with both synchronous and asynchronous collaboration.
- Native-speaker level of fluency in English (written and verbal).
Bonus Points
- Experience in data analytics, clinical informatics, medical writing, or health technology implementation.
The national pay range for this role is $140,000.00 – $160,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.
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