About Chartis
The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. We work with more than 1,900 organizations annually to develop and activate transformative strategies, operating models, and organizational enterprises that make US healthcare more affordable, accessible, safe, and human. With more than 1,450 professionals, we help providers, payers, technology innovators, retail companies, and investors create and embrace solutions that tangibly and materially reshape healthcare for the better. Our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—is 100% focused on healthcare and each has a longstanding commitment to helping transform healthcare in big and small ways. Believe in better.
Position Summary
Chartis is seeking an experienced OMOP Data Model Consultant to support healthcare data standardization initiatives using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This individual will play a key role in transforming disparate clinical and administrative healthcare data into the OMOP CDM to enable advanced analytics, research, interoperability, and regulatory reporting.
The ideal candidate has hands-on experience implementing or supporting the OMOP Common Data Model, understands healthcare data standards and vocabularies, and has experience working with large clinical datasets from EHRs, claims, registries, or other healthcare systems.
Key Responsibilities
Design, implement, and maintain healthcare data mapped to the OMOP Common Data Model (CDM).
Analyze source healthcare data and develop ETL processes to transform data into OMOP-compliant structures.
Map clinical, claims, laboratory, pharmacy, and administrative data to standardized vocabularies including:
SNOMED CT
LOINC
RxNorm
ICD-10-CM
CPT
HCPCS
Validate data quality, completeness, and conformance using OMOP data quality tools.
Collaborate with clinical, technical, analytics, and research teams to ensure accurate representation of healthcare data.
Support observational research, real-world evidence (RWE), quality improvement, and population health initiatives.
Troubleshoot mapping issues and optimize ETL processes.
Develop technical documentation for data mappings, transformations, and implementation methodologies.
Participate in data governance and standardization efforts across healthcare datasets.
Stay current on OHDSI community updates, OMOP CDM releases, and healthcare interoperability standards.
Required Qualifications
Bachelor's degree in Computer Science, Health Informatics, Information Systems, Data Science, Public Health, or related field.
3+ years of healthcare data engineering, data analytics, or healthcare informatics experience.
Hands-on experience implementing or supporting the OMOP Common Data Model (CDM).
Experience with healthcare databases, EHR data, claims data, or clinical registries.
Strong SQL skills and experience querying large relational databases.
Experience building ETL pipelines for healthcare data transformation.
Knowledge of healthcare coding systems and clinical terminologies.
Strong analytical and problem-solving skills.
Excellent communication skills with both technical and non-technical stakeholders.
Hourly range: $100-$125. The hourly range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skills, experience, training, licensure and certifications, practice area, and other business and organizational needs.
At Chartis, we pride ourselves on having a diverse workforce. We value and celebrate the uniqueness of individuals and the different perspectives they provide. We offer equal opportunity employment regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, or protected veteran status.