Clinical Data Scientist
Tasks
- Apply ICD coding and procedure coding for patient identification
- Apply medical coding standards for phenotyping
- Apply propensity score methods
- Assess patient population representativeness
- Collaborate with analysts and data scientists on implementations
- Conduct feasibility assessments for RWD sources
- Conduct sensitivity analyses
- Design epidemiological study methods for RWD
- Develop data assessment frameworks
- Document feasibility reports and communicate findings
- Evaluate data quality dimensions
- Extract structured and unstructured clinical data
- Manage data vendors and technology partners
- Partner with cross functional teams for data usage
- Perform NLP based extraction from clinical notes
- Perform bias assessment
- Recommend optimal RWD usage to minimize bias
- Run time to event analyses
Perks/Benefits
Skills/Tech-stack
Administrative Claims | Bias Assessment | CPT | Cursor | EHR data | Epidemiological study design | Event analysis | GitHub Copilot | ICD-10 | LLM | LOINC | NLP | OHDSI OMOP | OHDSI OMOP CDM | OMOP-CDM | Patient Registries | Power Automate | Predictive Modeling | Propensity Score Matching | Propensity score | Python | R | Regression Analysis | RxNorm | SAS | SNOMED CT | SQL | Score Matching | Sensitivity Analysis | Snowflake | Study design | Time to Event | Time to event analysis
Education
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