Clinical Terminologist

At Truveta, we believe that high data quality will play a critical role in accomplishing our mission towards saving lives with data. An important component of this work is data normalization in which the medical terminology linking, and terminology management are essential in building deep intelligence empowering the new generation of clinical research. We are looking for a full-time Clinical Terminologist who will help to standardize the data sourced from different health systems. The responsibilities include identifying, creating, or validating mapping between medical terms from various healthcare system to standardized Terminologies and extending them.

Responsibilities

Standardize the data sourced from different health systems; Identify, create, or validate mapping between medical terms from various healthcare systems to standardized Terminologies and extend them; Actively participate in efforts to enhance data management process as needed; Develop and maintain project documentation; Perform data checks and edits to ensure quality

Requirements

Education in Medicine or related fields (Nursing, Pharmacy, Clinical laboratory science, Medical Informatics, Medical Research, medical coding, etc.); 2+ years of experience in the field; 1+ year of practical application in clinical terminologies: SNOMED CT, RxNorm, LOINC; One of the following certifications: Certified Professional Coder (CPC) - AAPC, Certified Coding Specialist (CCS) - AHIMA, Certified Coding Associate (CCA) - AHIMA, Registered Health Information Technician (RHIT), Registered Health Information Administrator (RHIA), Certified Outpatient Coder (COC), Certified Inpatient Coder (CIC), Certified Coding Specialist (CCS), Certified Coding Specialist - Physician (CCS-P); Understanding of Electronic Medical Records, including reading medical charts, medication lists, lab reports, SOAP notes, procedure notes, etc.; Understanding of vast medical terms and frequently used abbreviations; Ability to provide subject matter expertise in one or more areas within data management; Effective communication skills, project management with minimal supervision; Cross-functional team collaboration (engineering, project manager, modeling team) to deliver constant improvement in data pipeline; Actively participate in efforts to enhance data management process as needed; Develop and maintain project documentation; Perform data checks and edits to ensure quality; Comprehension of guidelines to maintain effective data standards; Basic computer skills including Microsoft Office Products (Outlook, Excel, Word)

Nice to have

Experience in clinical terminology mapping using SNOMED CT, LOINC and RxNorm; Experience in annotating training data for machine learning models