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Clinical Informatics Analyst
FabricUKRemotefull_timeVerifiedPosted 12 Jan 2026
💰 $90,000/yr($70,000/yr – $90,000/yr)
About the role
About the Role
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.What You'll Do
- 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.
Why You Might Be a Good Fit
- 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.
- environment with pivoting priorities.
This Might Not Be The Right Fit If...
- 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.
Your Qualifications
- 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 care (for instance: quality improvement projects; clinical content development; or work outside of a clinical setting)
- Working knowledge of programming logic, Microsoft Office, and the ability to rapidly master new LLM and SaaS tools.
- Native-speaker level of fluency in English (written and verbal).
- Significant sense for user experience or a demonstrated willingness to learn UX principles.
Medical Intelligence Team (MIT) Core Competencies
- Collaboration & Communication: Proactive and clear communicator to collaborate with MIT and cross-functional team members. Excellent verbal and written communication comfortable with synchronous and asynchronous collaboration.
- Resilience & Flexibility: Self-motivated and comfortable with ambiguity; able to manage work in an ever-changing, fast-moving environment with pivoting priorities.
- Efficient Work
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