Clinical Data Specialist

Hi, This is Srikanth from Techno-Comp Inc. We have a job opening with our direct client for position

• 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).