Job Description
Job DescriptionClinical Informaticist (Mid-Level)
United States (Remote) | Full-Time | Mid-Senior
Posted by Beacon Talent on behalf of a confidential client
Overview
Our client is a mission-driven healthcare technology company building a platform that enables responsible development of clinical AI and advanced analytics. The team works at the intersection of clinical practice, informatics, and large-scale healthcare data—helping translate real-world care delivery into high-quality, analysis-ready data models.
This role is ideal for a medically trained, technically strong professional who enjoys digging into complex clinical datasets, making sense of messy source systems, and shaping how clinical concepts and workflows are represented in scalable data products.
What You’ll Do
You will own and drive clinical interpretation, discovery, and modeling of healthcare data from multiple source systems, ensuring datasets accurately reflect real-world clinical care and patient journeys. Day-to-day responsibilities include:
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Explore and query complex healthcare data sources (EHR/EMR data, imaging, waveforms/streaming inpatient data, and clinical text) to identify, validate, and map key data structures.
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Define and govern clinical vocabularies, phenotypes, and concept groupings; ensure datasets align with clinical reality and care delivery workflows.
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Guide selection and application of clinical terminologies and standards (e.g., ICD, SNOMED CT, LOINC, CPT) and support harmonization/mapping strategies across systems.
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Build and refine standardized clinical data models by reconciling disparate datasets and mapping source fields to shared ontologies/common data models.
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Partner closely with data science and engineering to validate clinical accuracy, interpretability, and appropriate downstream use—proactively identifying risks related to data quality, misrepresentation, or misuse.
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Create clear documentation and explain complex data structures, transformations, and informatics decisions to both technical and clinical audiences.
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Support analytic programming and data QA efforts (SQL-heavy; Python/modern analytics tooling a plus).
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Produce concise findings and recommendations on informatics approaches tailored to stakeholders with varying technical depth.
What We’re Looking For
Clinical + Informatics background (preferred)
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Healthcare provider background (MD/DO/NP) strongly preferred; alternatively an advanced degree in a relevant clinical field, or equivalent deep clinical-domain experience.
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Formal clinical informatics training or certification (e.g., fellowship, AMIA/ABMS pathway) or meaningful hands-on clinical informatics experience.
Experience & technical skills
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Hands-on clinical experience with strong understanding of real-world workflows and how care is captured in structured and unstructured data.
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Strong SQL fluency and comfort querying EHR data; familiarity with Python and/or modern data tooling is a plus.
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Expertise with clinical terminologies and data standards (e.g., LOINC, SNOMED CT, RxNorm, NDC, CPT/HCPCS) and common data models (e.g., OMOP or similar).
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Experience with major EHR platforms (e.g., Epic and/or Cerner) is a plus.
Working style
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Strong written communication and documentation skills.
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Collaborative, cross-functional mindset; comfortable in fast-moving environments.
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Organized, outcomes-oriented, and able to juggle multiple initiatives without losing rigor.
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Startup/early-stage experience is helpful but not required.
Working Environment & Benefits
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Remote-first with flexible hours (with reasonable overlap for meetings).
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Collaborative, low-ego team with strong learning culture.
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Professional development support.
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Occasional travel for in-person team working sessions (roughly quarterly).