Database Analyst/Programmer Senior

University of Michigan; Ann Arbor (MI); Hybrid; USD 95,000 - 135,000; Full time

Job summary

The Susan B. Meister Child Health Evaluation and Research Center in the Department of Pediatrics at the University of Michigan is seeking a Database Analyst/Programmer Senior to lead data analytics and programming for the MiSCDC program, supporting public health surveillance and research.

You will design and maintain complex relational databases, oversee data integration, quality assurance, and reporting, and collaborate with investigators and clinicians to enable data-driven decisions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Biostatistics, Statistics, Public Health, Health Informatics, or related field, or equivalent combination of education and experience.
• Significant professional experience in database programming, health data analytics, public health informatics, or data management with progressive responsibility.
• Extensive experience using SAS for data management, dataset construction, matching and merging complex data sources, and macro programming.
• Advanced experience with data quality assurance processes.
• Experience working with large administrative, clinical, public health, or healthcare claims databases.
• Experience integrating and linking data from multiple sources to create longitudinal surveillance, research, or analytic datasets.
• Experience developing data management, validation, and reporting processes.
• Excellent documentation, analytical, and problem-solving skills.
• Excellent written, verbal, and interpersonal communication skills.

Responsibilities

• Provide technical leadership in database architecture, dataset development, data governance, and programming standards.
• Develop and manage datasets from healthcare data sources using SAS, SQL, or similar tools.
• Design, implement, and maintain complex relational databases and analytic data sets supporting MiSCDC and related research, public health surveillance, quality improvement, and operational initiatives.
• Design, test, and optimize programming code to acquire, integrate, link, validate, and analyze large multi-source datasets.
• Apply health informatics and basic descriptive statistics methods to support public health surveillance, research, quality measurement, and program evaluation.
• Conduct data quality reviews, data linkage, validation activities, and healthcare quality measure testing.
• Collaborate with faculty, investigators, clinicians, and staff on database design, programming, and data management strategies.
• Contribute to study design, analysis, manuscripts, presentations, grant proposals, reports, and dissemination of findings.
• Maintain data dictionaries, technical documentation, code repositories, and programming standards.

Skills

SAS programming

SQL databases

Data analysis

Health informatics

Data governance

Education

Bachelor's degree in Computer Science, Data Science, Biostatistics, Statistics, Public Health, Health Informatics, or related field

Master's degree in related field

Tools

SAS

SQL

R

GitHub

ETL

Job description

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Job Summary

The Susan B. Meister Child Health Evaluation and Research Center in the Department of Pediatrics is seeking a Database Analyst/Programmer Senior to support the research program of Dr. Sarah Reeves. This position will serve as the lead data analyst and programmer for the Michigan Sickle Cell Data Collection (MiSCDC) program, a public health program which collects health information about people with sickle cell disease to study long-term trends in diagnosis, treatment, and healthcare access.

Under minimal direction, the Database Analyst/Programmer Senior designs, develops, maintains, and improves complex relational databases and analytic datasets supporting public health surveillance, research, quality improvement, and operational initiatives. The position serves as a senior technical resource for database programming, data integration, quality assurance, and reporting, with a primary focus on healthcare administrative data.

The individual will be expected to work highly independently while leading database management and improvements and analytic dataset creation activities, applying advanced programming techniques, and collaborating with investigators, clinicians, public health partners, and other partners to support data-driven decision-making. The position requires expertise in database design, maintenance, healthcare data analytics, data linkage, quality assurance, and reproducible programming practices.

Responsibilities*

• Provide technical leadership in database architecture, dataset development, data governance, and programming standards.
• Develop and manage datasets from healthcare data sources using SAS, SQL, or similar tools.
• Design, implement, and maintain complex relational databases and analytic data sets supporting the Michigan Sickle Cell Data Collection Program and related research, public health surveillance, quality improvement, and operational initiatives.
• Design, test, and optimize programming code to acquire, integrate, link, validate, and analyze large multi-source datasets.
• Apply health informaticsand basic descriptive statistics methods to support public health surveillance, research, quality measurement, and program evaluation.
• Conduct data quality reviews, data linkage, validation activities, and healthcare quality measure testing.
• Collaborate with faculty, investigators, clinicians, and staff on database design, programming, and data management strategies.
• Contribute to study design, analysis, manuscripts, presentations, grant proposals, reports, and dissemination of findings.
• Maintain data dictionaries, technical documentation, code repositories, and programming standards.

Required Qualifications*

• Bachelor's degree in Computer Science, Data Science, Biostatistics, Statistics, Public Health, Health Informatics, or a related field, or equivalent combination of education and experience.
• Significant professional experience in database programming, health data analytics, public health informatics, or data management with progressive responsibility.
• Extensive experience using SAS for data management, dataset construction, matching and merging complex data sources, and macro programming.
• Advanced experience with data quality assurance processes.
• Experience working with large administrative, clinical, public health, or healthcare claims databases.
• Experience integrating and linking data from multiple sources to create longitudinal surveillance, research, or analytic datasets.
• Experience developing data management, validation, and reporting processes.
• Excellentdocumentation, analytical, and problem-solving skills.
• Excellent written, verbal, and interpersonal communication skills.

Desired Qualifications*

• Master?s degree in Computer Science, Data Science, Biostatistics, Statistics, Public Health, Health Informatics, or a related field, or equivalent combination of education and experience.
• Experience developing dashboards, reports, and data visualization products.
• Experience with SQL, or other tools, and relational database design
• Experience mentoring staff and providing technical leadership on data management and programming activities.
• Experience supporting peer-reviewed publications, presentations, technical reports, or grant-funded projects through data management and programming expertise.
• Experience using R
• Experience using GitHub or other Git-based version control systems.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .

Work Schedule

Monday - Friday (40 hours/week)

Work Locations

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.