Clinical Informatics Specialist
2 days ago
Axle is seeking a highly skilled Clinical Informaticist to join our team at the National Institutes of Health (NIH) in Rockville, MD. As a key member of our team, you will be responsible for monitoring, improving, and maintaining data quality and phenotypes across clinical datasets.
The ideal candidate will have a Master's degree in Bioinformatics, Health Informatics, Data Science, or a related field, and proven experience in data quality management, clinical data pipelines, and phenotype development.
We offer a competitive salary range of $90,000-$120,000 USD, as well as a comprehensive benefits package, including 100% medical, dental, and vision coverage, paid time off, and educational benefits.
If you are a motivated and detail-oriented individual with a passion for data quality and clinical informatics, we encourage you to apply for this exciting opportunity.
Key Responsibilities:- Data Quality Management: Monitor and remediate data quality issues as they arise to ensure ongoing compliance with standards.
- Phenotype Management: Maintain longitudinal phenotypes for NacDacC Clinical Enclaves on GitHub, along with comprehensive documentation.
- Data Acquisition and Ingestion Pipelines: Develop acquisition and ingestion pipelines for ancillary data relevant to the NCI Cancer Enclave and NIDDK Renal Enclave.
- Consultation and Collaboration: Consult with potential new enclave requesters to assess feasibility, ancillary data needs, and other technical requirements.
- Master's degree in Bioinformatics, Health Informatics, Data Science, or a related field.
- Proven experience in data quality management, clinical data pipelines, and phenotype development.
- Familiarity with data quality tools and GitHub for maintaining and documenting EHR-based phenotypes.
- Experience working with clinical or research data, ideally within healthcare or biomedical research environments.
- Familiarity with Common Data Models, in particular OMOP.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively with multidisciplinary teams and stakeholders across various NIH Institutes.
- Experience with NAACCR or transplant data.
- Familiarity with NIH data and processes.
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