Summary:

The Data Integration Analyst will work with T1Ds partners centers IT team to ensure integration, validation and ongoing quality assurance of primary data assets.

As a member of the T1D Exchange Quality Improvement and Population Health Team, you will join an innovative team of experts using big data and quality improvement methods to advance diabetes care. In addition to impacting lives of people living with diabetes, you will benefit from national impact of your work, mentorship, and publication opportunities.

Primary Responsibilities:

• Work with clinic and hospital staff to assist data onboarding
• Define data transformation requirements
• Test for data compliance and quality assurance
• Assist in the design, modeling, and architecture for Business Intelligence applications
• Closely liaise with international front end and back-end development team
• Perform internal data security audits and testing.
• Complete basic statistical analysis for scientific manuscripts and abstracts
• Meet project deadlines and resolve issues in a timely as they arise

Qualifications:

• Bachelors Degree in Engineering, Data Analysis, Statistics with at least 2 years of experience strongly preferred, or
• Masters Degree with at least 1-year relevant experiences strongly preferred
• Extract Transform Load processes and tooling
• Experience with Python and Pandas
• Experience with Linux terminal
• SQL query experience
• Amazon Web Services EC2 and S3; R and Jupyter Notebook
• Strong interpersonal skills with demonstrated poise, tact, and diplomacy
• Self-starter with ability to project manage work

Strongly Preferred:

• Knowledge of hospital EMR systems including but not limited to Epic or Cerner
• Knowledge of health coding standards ICD-10, SNOMED-CT, LOINC, NDC, RxNorm

T1D Exchange will actively strive to create a diverse, equitable and inclusive workplace where all individuals are treated with respect and dignity, and individual differences are leveraged to drive results. The organization provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, marital or veteran status in accordance with applicable federal, state, and local laws.

No Agencies please.