Clinical Data Quality Abstractor

POSITION TITLE: Clinical Data Quality Abstractor

POSITION LOCATION: Remote, USA

POSITION SUMMARY:

Job Description:

• Serve as the clinical data quality subject matter expert and the first escalation point of


• abstraction data quality issues and queries of the internal and external abstraction teams


• and a cross-functional team of IT, engineering, data scientist, medical, and scientific staff


• as it relates to clinical data and abstraction activity


• Work with software engineers and developers to design the creation and development of


• workflows to monitor and control the quality of abstracted data by translating business


• requirements to technical requirements and specifications


• Develop abstraction QA and QC governance frameworks, workflows, policies, and


• procedures and ensure the program is producing high-quality abstracted data


• Establish acceptable and unacceptable quality standards and methodologies for


• monitoring and controlling


• Design and implement corrective measures and provide abstraction supervisors with


• frequent quality metrics


• Conduct abstraction data quality auditing, validation, and tracking using automated


• means using quality assessment reports


• Generate and monitor abstraction quality accuracy rates and other performance related


• metrics of the clinical data abstraction team, internal and external


• Independently advise the Business Operations Manager and Director on best data quality


• and management practices for ensuring the production of high-quality data


• Create and maintain data dictionaries, data mapping files, and all necessary standard


• operating procedures, guidelines, and workflows pertaining to data quality


• Provide statistical reports on patient data or trends as a result of abstraction efforts (strong


• data analysis skills)


• Create data analysis reports & regularly communicate quality trends. Monitoring all data


• anomalies


• Query raw abstracted data to determine root-cause of data abstraction errors


• Write and/or run data query to assess data quality


• Support engineering team in structuring and analyzing abstracted data by creating


• supportive documentation, working instructions, and hosting workshops


• Perform clinical data abstraction across cancer, women's health, and organ health/chronic


• diseases, as needed


• Build and maintain ongoing strong working relationships with stakeholders, with a focus


• on building effective communication channels


• Other duties as assigned

The fun things

• Work on the forefront of genomics research enablement by establishing clinical data


• quality frameworks and ensuring high-quality rich and longitudinal data is


• accessible through the Clinicogenomics platform


• Guide the implementation of established quality frameworks

The essentials

• This role works with Protected Health Information (PHI) regularly both in paper and


• electronic form and has access to various technologies to access PHI (paper and


• electronic) to perform the job


• Employees must complete HIPAA/PHI privacy training, General Policies and Procedure


• Compliance training, and security training. Must maintain a current status on Natera


• training requirements


• Employees must pass a post-offer criminal background check

QUALIFICATIONS:

• Master's degree in health sciences, bioinformatics, or related field, at minimum and 3


• year of clinical data abstraction or clinical data management experience, or


• Bachelor's degree in health science or health related field and a minimum of 5 years of


• clinical data abstraction experience


• Clinical data abstraction or data management experience requires direct experience


• performing medical record abstraction across multiple platforms (paper records, different


• electronic medical record systems, EDC, registries, etc.)


• Currently certified Physician Assistants, Nurse Practitioners, and Nurses (only candidates


• with such certifications will be considered) or currently certified foreign medical


• graduates


• Must have some SQL experience


• Must have a minimum of 4 years of experience in clinical data quality review and


• monitoring, which includes leading data quality programs and teams


• Must have experience working within startup abstraction programs, as well supporting


• the strategic direction of long-term abstraction programs