Clinical Informatics Analyst

About Fabric Health

At Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity. We aren’t here to disrupt healthcare; we’re here to fix it. We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2-10x more efficient. Our technology empowers clinicians to move faster and focus on what matters most: the patient.

We are a mission‑driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF Health Care, SSM Health, and MUSC Health. Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures. We move quickly for good reason, listen deeply to solve big challenges, and build products with the same care and quality we’d want for our own loved ones.

Learn more:
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As a Clinical Informatics Analyst on the Medical Intelligence Team (MIT), you will serve as a connector between medical excellence and technological innovation. Your mission is to bring safe, high‑quality clinical and operational value to patients, providers, and the healthcare ecosystem. You will translate ever‑evolving medical literature into actionable, evidence‑based digital content—optimizing patient routing, care delivery, and clinical outcomes. This role is responsible for the end‑to‑end development and oversight of clinical content, algorithms, and AI components across multiple Fabric products.

• Literature Synthesis:
  Rapidly source, critically appraise, and synthesize medical literature (clinical trials, consensus guidelines, and practicing physician opinion) to inform content creation.
• Clinical Logic Translation:
  Translate complex clinical rules and medical literature into functional logic, decision trees, or system configurations.
• System Implementation:
  Master Fabric’s proprietary configuration tools to implement new clinical content, ensuring technical execution aligns with clinical intent.
• Clinical Mapping:
  Utilize standard terminologies (ICD‑10, CPT, SNOMED CT) to map clinical concepts to structured data models for platform integration.
• Quality Assurance & Testing:
  Perform rigorous validation of your own work and peer‑developed logic to minimize organizational risk and ensure high‑quality output.
• Data Analytics:
  Analyze datasets to measure the impact of content changes and identify opportunities for further clinical innovation.
• AI & LLM Proficiency:
  Utilize LLMs and AI tools to improve team efficiency and enhance Fabric’s products at‑large.
• Ad Hoc Responsibilities:
  Remain responsive to a variety of requests relevant to supporting Fabric’s clinical logic products, business growth, or unexpected industry evolutions.

• You are a process‑oriented thinker who thrives on translating clinical knowledge into technical architecture.
• You possess a detail‑oriented mindset with the capacity to work “deep in the weeds” while keeping the big‑picture vision in mind.
• You are excited by the intersection of AI, medical literature, and digital care delivery.
• You are an effective communicator who enjoys collaborating across clinical and technical teams to solve complex problems.

• You prefer direct patient care over deep‑work technical configuration and logic‑building.
• You find meticulous clinical data mapping or rigorous logic testing (validation) tedious.
• You are looking for a traditional clinical role rather than a technical informatics position.
• You are not comfortable with the “logic‑gate” thinking (If/Then/Else) required to build clinical algorithms.

• Healthcare degree (RN, PA‑C, NP, PT, etc.) with 1‑3 years of recent or active clinical practice.
• Consistent commitment to standard of care through dedication to current, accepted clinical practice guidelines and regulatory standards.
• Proven experience in clinical informatics, medical writing, or health technology implementation or can demonstrate the ability to work well in multi‑disciplinary teams outside of direct clinical…