Clinical Informatics Specialist

2 days ago


Rockville, Maryland, United States Axle Full time
Job Summary

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.
Qualifications:
  • 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.
Nice to Have:
  • Experience with NAACCR or transplant data.
  • Familiarity with NIH data and processes.


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