Data Quality Specialist

3 weeks ago


Rockville, Maryland, United States Axle Informatics Full time
Overview
Axle Informatics is a pioneering bioscience and information technology company dedicated to advancing translational research, biomedical informatics, and data science applications. With a team of experts in biomedical science, software engineering, and program management, we develop and apply research tools and techniques to empower decision-making and accelerate research discoveries.

We are seeking a highly skilled Data Scientist - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

Estimated Salary: $140,000 - $160,000 per annum

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

This is a challenging role that requires expertise in designing, developing, and implementing systems to ensure the accuracy, completeness, reliability, and study-readiness of the Center for Linkage and Acquisition of Data (CLAD) platform. You will collaborate with 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.

Key Responsibilities:
  • Produce criteria to evaluate improvements in the quality and scope of analyses of PPRL-linked Real World Data.
  • Design, implement, and maintain systems for checking and reporting on the quality of complex research databases, including assessment of missingness, validation of content, and readiness for the application of statistical methods.
  • Perform end-to-end QA processes for research databases.
  • Maintain database dictionaries, schemas, diagrams, and documentation.

Qualifications:
  • 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.

Benefits:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus


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