Clinical Informatics Lead

About the role

We are looking for a Clinical Informatics Lead to own the quality and safety layer for Fabric's Medical Intelligence Team (MIT).

• 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.
• 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.
• Provide first-pass reviews of clinical logic, safety concerns from safety audits, and other clinical decision-making documents.
• Present findings and recommendations with evidence-based support to the next most senior medical leader for review, edits, and implementation, as appropriate.
• 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.
• As needed and as time allows, assist the Medical Intelligence Team with data analyses, platform implementations, and other improvements.
• 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.

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.
• 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).