Clinical AI & Informatics Specialist

We are looking for a clinician with a strong understanding of clinical informatics and applied AI to support the development and validation, our AI-powered platform for clinical cohort building and patient identification. This role sits at the intersection of clinical research, healthcare data and AI. You will work closely with our AI engineers to ensure that complex clinical criteria are interpreted accurately, translated into structured logic and validated against real-world patient data. What you’ll work on: Interpret and decompose complex clinical trial eligibility criteria. Translate clinical intent into structured, machine-evaluable logic. Review AI-generated criteria interpretations, clinical reasoning and patient-matching results. Work with OMOP CDM, Athena vocabularies and clinical terminology systems such as SNOMED CT, ICD, LOINC and RxNorm. Identify gaps in code mappings, temporal logic, exclusions and clinical relationships. Create gold-standard test cases and validation datasets. Evaluate system performance and investigate incorrect or ambiguous results. Provide clear, actionable feedback to AI engineers. Help establish clinical validation processes, evaluation frameworks and safety guardrails. What we’re looking for: A clinical qualification or strong professional background in medicine, clinical research or a related healthcare discipline. Practical experience with OMOP CDM, Athena or healthcare terminology mapping. Ability to interpret complex inclusion and exclusion criteria. Working understanding of AI/LLM concepts, including prompting, grounding, hallucination risks and evaluation. Experience validating clinical software, AI systems, cohort-building tools or patient-matching workflows. Ability to communicate clinical reasoning clearly to technical teams. Strong attention to detail and comfort working with ambiguous or incomplete clinical data. Particularly valuable Experience with observational health data, EHR datasets or clinical trial recruitment. Familiarity with SQL, Python or structured query logic. Experience building clinical evaluation datasets or annotation guidelines. Previous collaboration with data scientists, AI engineers or software engineering teams. Engagement For the right person, there is strong potential for this to develop into a broader, long-term opportunity at Srotas Health. If you combine clinical judgement with an understanding of healthcare data and applied AI, we would love to hear from you.