Role Description

At Freenome, we are seeking a Senior Clinical Informaticist to help grow the Freenome Real-World Data team. The ideal candidate brings deep experience working with EHR, claims, and other real-world data sources, along with strong knowledge of clinical ontologies, vocabularies, and common data models. In this role, you will help design and maintain computable cohorts, semantic normalization processes, and proprietary ontologies that power Freenome’s research datasets. You will also play a key role in evaluating and integrating AI-enabled tools to enhance clinical data extraction, concept identification, and phenotyping workflows, including emerging capabilities from the OHDSI community. You will help ensure Freenome’s real-world data pipelines remain scalable, clinically rigorous, and ready to support advanced analytics and machine learning.

The role reports to the Senior Manager, RWD. This role will be a remote.

What you’ll do:

• Monitor, evaluate, and implement emerging AI-enabled tools and methodologies from the Observational Health Data Sciences and Informatics (OHDSI) community.
• Develop and maintain computable cohort definitions and longitudinal patient datasets from claims and EHR/EMR systems.
• Establish evaluation and validation strategies for AI-extracted clinical variables and cohorts.
• Manage and evolve the company’s proprietary semantic content, ontologies, and vocabularies.
• Support semantic normalization and quality control across the entire curation lifecycle.
• Design and implement scalable workflows for extracting and transforming clinical data.
• Help enhance the end-to-end real-world data curation pipeline with AI-assisted techniques.
• Help automate clinical concept extraction, entity recognition, and phenotype detection.
• Collaborate with clinical scientists to ensure cohorts reflect clinically meaningful inclusion and exclusion criteria.
• Apply and map clinical terminologies including ICD-10, SNOMED, LOINC, CPT, RxNorm, and UMLS.
• Ensure clinical accuracy, traceability, and reproducibility of derived datasets.
• Support HIPAA-compliant data use, de-identification, and regulatory readiness for research applications.

Qualifications

• Advanced degree in Clinical Informatics, Biomedical Informatics, Medicine, Nursing, Public Health, or related field (MS, PhD, MD, RN, NP, PharmD, etc.).
• 3–7+ years experience working with clinical or real-world healthcare data.
• Hands-on experience with claims and EHR/EMR data extraction and transformation.
• Experience defining and building clinical cohorts or computable phenotypes.
• Strong knowledge of clinical coding systems (ICD-10, SNOMED, LOINC, CPT, RxNorm, etc.).
• Exposure to or familiarity with AI-assisted clinical data extraction, entity recognition, or phenotyping workflows.
• Experience with the OMOP common data model.
• Experience with SQL and Python.

Requirements

• Experience with terminology browsers and authoring tools; OHDSI tools/Usagi preferred.
• Experience with cloud platforms; GCP, Azure, etc.
• Experience working with an agile-based team.

Benefits

• The US target range of our base salary for new hires is $140,250 - $200,025.
• Eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits.