- Expiry Date: 19 August 2022
- Referral: email@example.com
The Clinical Data Specialist will collaborate with other informaticists, researchers, and technologists to define and develop appropriate solutions for various research data needs.
These solutions typically involve extracting data from Client's various relational databases, data cleansing, and reformatting into analytic data sets.
Translate end-user data requests into technical specifications and specific data elements required for data set, report, or data mart development.
Elicit requirements for new reporting and data requests by interacting with end users.
Writing SQL queries to profile data sources and to extract data to fulfill data requests.
Test and validate the content of reports and data extracts. Ensure that customers are satisfied with data provided to them.
Create and maintain value sets needed for various research use cases.
Oversees all activities related to data cleansing, data quality, and data validation using industry standards and processes. Create rules and processes for data quality, validity, and integrity.
Serve as a healthcare data subject matter expert, providing researchers with advice on research data analysis and the effective presentation of results.
Identifies, develops, and documents data standardization, data enrichment operations, data validations, data security requirements, and data exception handling processes.
Participate in data management, governance, and stewardship activities, including documenting data definitions and data lineage, and prioritizing data enhancement requests.
Assist with the development of grant proposals, manuscripts, presentations, and training materials with data analyses and data management expertise.
Identify needs for improvement and recommend solutions for better operational processes for data management.
Trains staff with varying degrees of knowledge to effectively use databases and query tools.
Perform related duties as assigned or requested.
Bachelor degree in computer science, statistics, informatics, public health/epidemiology, or a related discipline; advanced degree preferred.
Minimum of 5 years’ experience working with electronic health record (EHR) and/or healthcare claims data; experience with Epic’s Clarity & Caboodle databases is strongly preferred.
Prior experience working with healthcare terminologies and code sets (e.g., ICD-10, RxNorm, LOINC, CPT), and building or using value sets for specific reporting use cases.
Prior experience working in a research environment and/or knowledge of research Common Data Models (e.g., OMOP, i2b2, PCORnet, ACT); experience with the OMOP Common Data Model is a plus.
Prior experience creating, structuring, cleansing, and validating data sets suitable for statistical analysis.
Team player with experience leading and collaborating cross-team to ensure successful delivery of solutions.
Fast learner with the ability to work both independently and in a team environment.
Prior experience querying databases with at least basic to intermediate SQL scripting, with the interest and ability to learn various SQL dialects (e.g., Microsoft Transact-SQL, Oracle PL/SQL, PostgreSQL PL/pgSQL).
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