App Sys Analyst/Prgm Inter - Term Limited, Ann Arbor
App Sys Analyst/Prgm Inter - Term Limited, Ann Arbor
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Ann Arbor 48113, USA
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Posted: less than a week ago
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Description
Application System Analyst/Programmer Intermediate
The Comprehensive Mobile Precision Approach for Scalable Solutions in Mental Health Treatment (COMPASS) project is looking for an Application System Analyst/Programmer Intermediate for our new NIMH project. COMPASS is focused on the effects of machine learning, wearable and mobile technology to both reduce mental health symptoms and predict response to clinic-based treatments. The ideal candidate should be passionate about building data and software infrastructure to power precision mental health research that integrates mobile sensing, electronic health records, and reinforcement learning. We are looking for someone with a demonstrated background in programming who is detail-oriented and will work to conceptualize, develop and implement complex program designs to assist with the reinforcement learning AI agent to coalesce complex data from multiple sources (wearable devices, smartphones, survey answers).Responsibilities include, but are not limited to: Reinforcement Learning Algorithm Development and Implementation (35%) Use Large Language Models to Generate Intervention Messages (25%) Code and documentation development (15%) Data Team work (15%) Manuscript Development (10%) Required Qualifications include:Master's degree in Biostatistics Demonstrated background in reinforcement learning with proven experience in building adaptive, sequential decision systems for health research. Reinforcement learning-based contextual bandits in applied settings. Integrating wearable, smartphone, survey, and longitudinal behavioral data.Designing algorithms and workflows to implement existing theoretical literature within an online, clinical setting. GPU-based statistical computations. Local LLM data pipelines. Proficiency using relevant tools, including Python, R, Git, and version-controlled scientific workflows. Background in database design and server-based computing.Clear, professional communication skills, with the ability to translate between technical and scientific audiences; demonstrated record of collaboration and independent problem solving. Willingness to learn and quickly adjust to new tools and systems. Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results.Experience in mentoring and supervising the work of a team, peers, and staff. Capable of converting ambiguous problem statements into concrete project requirements. Ability to understand and explain technical concepts to non-technical stakeholders. Desired Qualifications include: Experience with cloud platforms (for example, GCP or AWS).Familiar with Michigan Medicine data requirements and procedures, including EPIC Electronic Health Records. Experience working with big data. Experience working with PHI. Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.What Benefits can you Look Forward to? Excellent medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings 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.Our office is located at the University of Michigan's North Campus Research Complex. This is a hybrid work environment. This position is term-limited for 2 years (ending May 2028) with the possibility of renewal based on need and available funding. At the end of the stated term, your appointment will terminate and 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.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 Report 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.Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended. The University of Michigan is an equal employment opportunity employer.
The Comprehensive Mobile Precision Approach for Scalable Solutions in Mental Health Treatment (COMPASS) project is looking for an Application System Analyst/Programmer Intermediate for our new NIMH project. COMPASS is focused on the effects of machine learning, wearable and mobile technology to both reduce mental health symptoms and predict response to clinic-based treatments. The ideal candidate should be passionate about building data and software infrastructure to power precision mental health research that integrates mobile sensing, electronic health records, and reinforcement learning. We are looking for someone with a demonstrated background in programming who is detail-oriented and will work to conceptualize, develop and implement complex program designs to assist with the reinforcement learning AI agent to coalesce complex data from multiple sources (wearable devices, smartphones, survey answers).Responsibilities include, but are not limited to: Reinforcement Learning Algorithm Development and Implementation (35%) Use Large Language Models to Generate Intervention Messages (25%) Code and documentation development (15%) Data Team work (15%) Manuscript Development (10%) Required Qualifications include:Master's degree in Biostatistics Demonstrated background in reinforcement learning with proven experience in building adaptive, sequential decision systems for health research. Reinforcement learning-based contextual bandits in applied settings. Integrating wearable, smartphone, survey, and longitudinal behavioral data.Designing algorithms and workflows to implement existing theoretical literature within an online, clinical setting. GPU-based statistical computations. Local LLM data pipelines. Proficiency using relevant tools, including Python, R, Git, and version-controlled scientific workflows. Background in database design and server-based computing.Clear, professional communication skills, with the ability to translate between technical and scientific audiences; demonstrated record of collaboration and independent problem solving. Willingness to learn and quickly adjust to new tools and systems. Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results.Experience in mentoring and supervising the work of a team, peers, and staff. Capable of converting ambiguous problem statements into concrete project requirements. Ability to understand and explain technical concepts to non-technical stakeholders. Desired Qualifications include: Experience with cloud platforms (for example, GCP or AWS).Familiar with Michigan Medicine data requirements and procedures, including EPIC Electronic Health Records. Experience working with big data. Experience working with PHI. Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.What Benefits can you Look Forward to? Excellent medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings 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.Our office is located at the University of Michigan's North Campus Research Complex. This is a hybrid work environment. This position is term-limited for 2 years (ending May 2028) with the possibility of renewal based on need and available funding. At the end of the stated term, your appointment will terminate and 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.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 Report 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.Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended. The University of Michigan is an equal employment opportunity employer.
Highlights
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Company nameUniversity of Michigan Flint
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Job positionApp Sys Analyst/Prgm Inter - Term Limited
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