Quality Assurance Lead in Data Science

1 day ago

Rockville, Maryland, United States Axle Informatics Full time
About the Role
Axle Informatics is a leading bioscience and information technology company seeking a highly skilled Quality Assurance Lead in Data Science to join our team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

The successful candidate will lead the development of Real World Data (RWD) assets to support projects at the NIH. This role will be based at Axle Informatics in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.

This position requires exceptional leadership skills and the ability to manage cross-functional teams. The ideal candidate will have a proven track record of working with real-world clinical data, experience with large claims and EHR databases, and knowledge of PPRL databases.

Responsibilities:

  • Lead the development of Real World Data (RWD) assets to support projects at the NIH.
  • Manage cross-functional teams, including software developers, data engineers, data scientists, epidemiologists, and project managers to ensure the successful delivery of a scalable, secure, and efficient research platform.
  • Design, implement, and maintain systems for checking and reporting on the quality of complex research databases.
  • Perform end-to-end QA processes for research databases.
  • Maintain database dictionaries, schemas, diagrams, and documentation.
  • Work with internal and external collaborators to examine, transfer, and index data towards development of automated data processing pipelines.
  • Understand business issues and data challenges of enterprise Real World databases used for observational research.
  • Participate in all aspects of business analysis, testing, including functional, regression, integration, load, and system testing.
  • Review and edit requirements, specifications, business processes, and recommendations related to proposed solutions.
  • Take the initiative to suggest new standards, implement new strategies, and take on special projects.
  • Investigate and resolve operational problems in conjunction with other engineering and technical personnel.
  • Provide technical support and advice to Leads, PIs, technical staff, and other engineering groups.
  • Keep aware of developments and trends in best practices for data quality analysis.

Estimated Salary:$120,000 - $150,000 per year

Requirements:

  • MS in computer science, (bio)statistics, informatics, or similar quantitative degree preferred.
  • Minimum Bachelor's degree in statistics, mathematics, computer science, information management, or similar.
  • At least 5 years of experience in data analysis.
  • Proficiency in programming and scripting languages, including Python, R, and SQL.
  • Working knowledge of statistical methods and tests.
  • Familiarity with large claims and EHR databases.
  • Knowledge of PPRL databases.
  • Proven track record of working with real-world clinical data.
  • Familiarity with medical coding systems (ICD, CPT, HCPCS, NDC, LOINC, SNOMED, etc.).
  • Exceptional analytical skills.
  • Advanced problem-solving skills.
  • Knowledge of best practices in data analysis.
  • Excellent interpersonal and communication skills.

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