App Programmer/Analyst Inter - Term Limited

University of Michigan

Ann Arbor, MI

Job posting number: #7272174

Posted: August 13, 2024

Application Deadline: Open Until Filled

Job Description

Job Summary
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.

The Department of Learning Health Sciences (DLHS) has received a $5 million, five-year grant from PCORI and AHRQ to apply innovative methods to improve health, healthcare, and health equity. This grant has allowed us to establish the Michigan Embedded Learning Health System Scientist Training and Research MEL-STaR) center. As part of this grant, we are seeking a motivated and dynamic team member to join us as an Applications Programmer Analyst Intermediate.

The person in this position will build software routines to extract, transform, and load data from diverse data warehouses and provide infrastructural support to operationalize them. This individual will work with the MEL-STaR grant Scholars to ensure availability of data, software packages, and research infrastructure needed for them to conduct their embedded LHS research projects. This position offers a unique opportunity to work closely with our transdisciplinary tenured faculty and clinical and community-affiliated collaborators.

Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Responsibilities*
The person hired for this position will be expected to:

30% - Assist MEL-STaR grant affiliated scholars and collaborators with accessing data from multiple, diverse sources
30% - Collect and maintain a repository of tools, publications, and other solutions created by MEL-STaR grant affiliated scholars and collaborators
20% - Assist Co-PIs and Co-directors with building reporting, evaluation, and analysis framework for MEL-STaR grant, including e-forms, website inter-connectivity, executive summaries, and presentation slides, and other reports as needed
20% - Create programming; documentation standards; update procedures, forms and policies as needed
Required Qualifications*
Bachelor?s degree with 3+ years or equivalent combined experience in programming or informatics-related projects, ideally working in a large healthcare environment
Proficiency in one or more of R, Python, Linux, and Unix environments
Familiarity with ML concepts (machine learning, statistics, deep learning)
Experience working with protected health information
Willingness to learn and quickly adjust to new tools and applications
Capable of converting ambiguous problem statements into concrete project requirements
Excellent verbal and written communication skills including technical writing and ability to communicate effectively and professionally with colleagues and stakeholders.
Ability to understand and explain technical concepts to non-technical stakeholders.
Ability to manage multiple tasks, projects, and activities, setting priorities and maintaining deadlines, with minimal supervision.
Demonstrate respect, trust, and integrity in all operational and interpersonal transactions.
Desired Qualifications*
Master?s level education in learning health science, computer or information science or related discipline or an equivalent combination of education and experience
Experience working with distributed computing infrastructure and/or pipelined architecture for data analysis, federated models, etc.




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More Info

Job posting number:#7272174
Application Deadline:Open Until Filled
Employer Location:Online Job Advertising
JAX,Florida
United States
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