Decision Scientist

Role: Decision Scientist

Location: Remote

Required Qualifications 

2+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management. 

Familiar with clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data. 

Knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm. 

Ability to support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support. 

Proficiency with SQL and experience working with large-scale healthcare datasets. 

Familiar using cloud-based data platforms, preferably Google Cloud Platform (Google Cloud Platform) tools including BigQuery, for querying, transforming, and managing data. 

Understanding of data quality principles, including validation, profiling, and monitoring of healthcare data. 

Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences. 

Preferred Qualifications  

Healthcare data platform experience with strong understanding of interoperability standards and harmonization at scale (OMOP/CCDA/FHIR)  

Familiarity with clinical workflows and HIEs.  

Experience using standardized clinical code systems (e.g., ICD-10, SNOMED CT, LOINC, RxNorm, UMLS) and their application within common data models (e.g., OMOP). 

Experience in ETL design & implementation from heterogeneous clinical sources into different data standards preferably into the OMOP CDM.  

Experience designing and implementing data quality frameworks, preferred to have experience with tools like Achilles, Data Quality Dashboard (DQDB), or equivalent custom frameworks. 

Privacy, security, and compliance: HIPAA/HITRUST experience, de-identification/tokenization, PHI handling, and data access controls (column-level, row-level security).