Data Scientist - Data Quality
Data Scientist - Data Quality
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Job Description
Overview
Axle is a bioscience and information technology company that offers advancements in translational research biomedical informatics and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science software engineering and program management we focus on developing and applying research tools and techniques to empower decisionmaking and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Axle is seeking a 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.
Benefits We Offer:
- 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
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
We are looking for a skilled and motivated Data Quality expert to 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.
As a Data Scientist with concentration in Data Quality for the All of Us Research Program you will be responsible for designing developing and implementing systems to ensure the accuracy completeness reliability and studyreadiness of the Center for Linkage and Acquisition of Data (CLAD) platform. You will collaborate with crossfunctional 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. Your role is key in providing upfront measures of database contents missingness variable quality and several other dimensions. Creativity in your approach to digesting massive amounts of information and how you communicate those findings back to the CLAD community will be essential.
Responsibilities:
Produce criteria to evaluate improvements in the quality and scope of analyses of PPRLlinked 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.
Work with internal and external collaborators to examine transfer and index data towards development of automated data processing pipelines.
Understand the 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.
Qualifications:
MS in computer science (bio)statistics informatics or similar quantitative degree preferred.
Minimum Bachelors 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.
Familiar 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 problemsolving skills.
Knowledge of best practices in data analysis.
Excellent interpersonal and communication skills.
Disclaimer:The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills responsibilities duties and/or assignments required. Individuals may be required to perform duties outside of their position job description or responsibilities as needed.
The diversity of Axles employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age race gender religion national origin disability marital status covered veteran status sexual orientation status with respect to public assistance and other characteristics protected under state federal or local law and to deter those who aid abet or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact:
Employment Type
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