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# App Programmer/Analyst Sr

- **Company:** University of Michigan
- **Location:** Ann Arbor, MI, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Bioinformatics, Health Informatics, Data Validation, Data Cleansing, Data Warehousing, Database Development, Generalized Linear Model, Statistical Hypothesis Testing, Systems Analysis, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Freeform SQL, Electronic Medical Records, Information Technology, Data Management
- **Published:** November 6, 2026
- **Apply:** https://careers.umich.edu/job_detail/apply/285306

## About the Role

* Completion of a master's degree in computer science, information, bioinformatics, clinical informatics, computer science, or related fields. Alternatively, a bachelor's degree may be considered if the candidate has taken relevant advanced coursework and has relevant previous experience.
 * Fluency in SQL for database development and manipulation
 * Fluency in Python or R for data management and analysis
 * Excellent communication skills, both oral and written
 * Strong organizational and documentation skills with attention to detail and accuracy

Senior level requirements:

 * 5 to 7 years of systems analysis/programming activities related to data management and analysis in a business environment.

Intermediate level requirements:

 * 3+ years in systems analysis/programming activities related to data management and analysis in a business environment.

Desired Qualifications*

 * Experience working with agentic coding.
 * Knowledge of basic and advanced statistical techniques and concepts (probability theory, generalized linear models, statistical hypothesis testing, etc.).
 * Familiarity with unstructured data (e.g., text data, imaging).
 * Experience working in Linux/Unix environments for research computing.

## Description

We are seeking a full-time data scientist to support ongoing clinical research in acute respiratory disease and other critical illness syndromes. You will report directly to the PI and join a team of clinical research physicians, computer scientists, and trainees working on ongoing single- and multi-center clinical research studies and machine-learning research projects in critical care and acute lung diseases. The candidate is expected to work independently as part of the research team, under the direction of the supervisor and in collaboration with other team members. The candidate may also support and work with research trainees., * Perform advanced SQL queries of institutional data warehouses to create analytic datasets derived from various electronic health records (vital signs, laboratory results, medication records, clinical notes, billing codes). Includes developing and performing data cleaning, data validation, and quality control procedures.

 * Conceptualize, research, and develop statistical and machine-learning models with significant autonomy for the analysis of healthcare data towards the goal of building algorithms to support clinical care and uncover new insights into human disease.
 * Create and maintain documentation of computer programs and models.
 * Contribute to research reports for conference presentations, manuscripts, and proposal development.
 * Participate in regular multidisciplinary research team meetings (physicians, computer scientists, trainees)., This is a 1-year term-limited appointment. At the end of the stated term, your appointment will terminate, and you will not be eligible for Reduction-in-Force (RIF) benefits. This term-limited appointment does not create a contract or guarantee of employment for any period of time, as you will remain subject to disciplinary or other performance measures, up to and including termination, at the will of the University in accordance with existing University policy and standards for employee performance and conduct.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third-party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Reporting Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.