Data Analytics Scientist - Internal Medicine (Medical Informatics)
Core
Provides advanced analytical and technical support for biomedical, clinical, translational, and population health research by translating research questions into data-driven strategies using EHR, claims, and real-world data.
Role type
Senior IC data analytics scientist (medical informatics)
Builds
Research study development, manuscripts, grant proposals, presentations, and reproducible analytical workflows
Domain
Healthcare + Biomedical Informatics
Deliverable
production ML models
Required skills
SQL, Python, R, SAS, statistical modeling, machine learning, natural language processing, ETL/ELT pipeline development, relational database design, software engineering practices, data interoperability standards (PCORnet CDM, OMOP, FHIR, HL7, UMLS, LOINC, SNOMED CT, RxNorm), generative AI tools
Preferred skills
Master's or doctoral degree in relevant field, experience with healthcare/clinical data, large-scale data processing environments
Technologies
Python, R, SQL, SAS, Git, CI/CD, containerization, PCORnet CDM, OMOP, FHIR, HL7, UMLS, LOINC, SNOMED CT, RxNorm
Responsibilities
Collaborate with faculty and clinicians to formulate research questions and analytical strategies; collect, preprocess, and integrate large-scale structured and unstructured healthcare data; develop and apply statistical models, ML algorithms, and NLP methods; design and maintain scalable databases and ETL/ELT pipelines; interpret findings and communicate results to stakeholders; contribute to scientific manuscripts and grant proposals; provide technical leadership and mentorship to junior team members
Seniority
Senior, hands-on IC with mentorship responsibilities
