Biomedical Information Quality Assurance Specialist

What You Will Do:

• Plan, monitor, and evaluate QA processes, procedures and documentationfor the CDE-R curation ensuring thatspecific milestones are met. 

• Communicate risks and changes to deliverables to the customer POC. If system issues or other emergencies delay QA, an implement measures/schedules to return to established schedules at the earliest possible time to ensure the needs are met and that satisfy our customer requirements.

• Perform quality assurance (QA) on submitted CDEs and providing detailed feedback to submitters.

• Refine standard operating procedures (SOPs) for data review and QA.

• Ensure that CDE-R policies, procedures, and functionality support user and stakeholderneeds, especially the NIH CDE Governance Committee.

• Identifyadditional points of automation of data submission, QA, and curation processes

• Providing recommendations to the NIH CDE Governance Committee forimproving workflow.

• Reviewing CDEs/Forms, before and after loading in the CDE-R, checking for completeness, quality, and consistency (both internal (within a project) and external (within NIH and other external sources)), according to established SOPs.

• Answers queries from the quality staff on a day-to-day basis and escalating as necessary.

• Records findings in the QA system, which will be for reporting to the customer, identifying risk areas, development of training and education programs and development/implementation of standardization within the organization. 

• Coordinates scheduled quality meetings with the QA and production staff.

• Maintain a thorough understanding of anatomy and physiology, medical terminology, disease processes.

• Assist with special projects as required. 

• Shall understand and abide by the organizations’ information security policy and protect the confidentiality, integrity and availability of all information assets.
  

What You Will Need:

• Minimum Bachelor’s degree.  

• A minimum of FIVE (5) years of knowledge and application of Quality Assurance principles in a large academic setting

• Experience with automated systems for analyzing data and assigning relevant terminologyconcepts.

• Understanding of data modeling, data governance, and policies.

What Would Be Nice To Have:

• A Degree in Biomedical Science, Biochemistry, Molecular Biology, Genetics, Neuroscience, Biomedical Engineering

• Data Quality Assurance certification, e.g., CDMP or equivalent.

• Knowledge and/or experience of working at NIH NLM.