Clinical Info Analyst Inter - Term Limited

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Michigan Medicine’s Bohnert Lab in the Department of Anesthesiology seeks an Analyst for the COMPASS project to manage diverse data sources, perform programming and analyses on EHR, wearable and survey data.

You will link data sources, help select analytical methods, and summarize results using SAS, R, and other tools. The ideal candidate works independently on multiple projects, communicates clearly in English, and is eager to learn causal inference and advanced statistics.

Qualifications

• Bachelor's degree in statistics/biostatistics or related field.
• At least 3 years of related experience.
• Ability to work independently and manage multiple projects.
• Proficiency with large datasets using statistical software (SAS preferred; STATA, SPSS, and R also acceptable).
• Experience with healthcare data.
• Excel and PowerPoint for presentations.
• Clear technical documentation and results communication.
• Excellent English communication skills.
• Willingness to learn new statistical methods, including causal inference.

Responsibilities

• Write, test and implement programs to clean, manage, merge and analyze complex data sets.
• Ensure data quality through programmatic methods.
• Prepare and maintain technical documentation of data and analyses.
• Participate in discussions on analysis and data collection improvements.
• Develop and draft analysis plans.
• Independently conduct data analyses.
• Perform power calculations and estimate sample size.
• Assist in manuscript writing.
• Collaborate with team to define questions and apply appropriate statistical methods.

Skills

Statistical analysis

Data management

Independent work

Communication skills

Education

Bachelor's degree in statistics/biostatistics

Master's degree in statistics/biostatistics

Tools

SAS

R

Stata

SPSS

Python

Job description

Who We Are

The Michigan Neuroscience Institute was established in 1955 to bring together investigators from across the University of Michigan campus to probe the mysteries of the brain on a cellular, molecular, and behavioral level. Its 140 faculty and affiliate members seek to understand the function and dysfunction of the human brain.

Job Summary

The Bohnert Lab within Michigan Medicine Department of Anesthesiology is looking for an Analyst for our new NIMH project. The Comprehensive Mobile Precision Approach for Scalable Solutions in Mental Health Treatment (COMPASS) project 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 Analyst will perform data management, programming, and analysis using participant quantitative data, electronic health records (EHR), mobile phone sensor data, wearable device data (e.g., Fitbit), and other data sources. The individual in this position will be tasked with managing and linking these data sources to allow for novel research. Additionally, this individual will assist researchers in determining the appropriate analytical methodology to meet their needs, use various statistical packages, and summarize and interpret statistical results.

The ideal candidate will demonstrate the ability to work independently and efficiently and be involved in multiple projects at the same time. The candidate must understand both database and research complexities and apply problem-solving techniques utilizing existing and emerging scientific knowledge.

Responsibilities

This position involves a wide range of tasks including programming and statistical analysis using both existing data and newly collected data. Specifically, the position includes the following responsibilities:

• Write, test and implement programs using statistical software to clean, manage, merge and analyze complex data sets (e.g., healthcare claims).
• Implement programmatic methods to ensure data quality.
• Prepare and maintain technical documentation of data and analysis files.
• Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation.
• Develop and draft analysis plans.
• Independently conduct appropriate data analyses.
• Perform power calculations and estimate sample size.
• Assist in the writing of manuscripts.
• Work with collaborators to define scientific questions, formulate models and methods, and apply appropriate statistical methods and advise on presentation of results.

Required Qualifications

• Bachelor's degree in statistics, biostatistics, or related field.
• At least 3 years of related experience.
• Demonstrated ability to work independently as well as cooperatively and manage multiple projects at the same time.
• Demonstrated proficiency working with large datasets using statistical software programs (e.g., SAS preferred, but STATA, SPSS, and R are also acceptable).
• Previous experience working with healthcare data.
• Experience with Microsoft Excel and PowerPoint for the development of presentation materials.
• Proven ability to write clear and concise technical documentation, summaries of various methodologies and descriptions of statistical results.
• Excellent communication, both oral and written in English language, and interpersonal skills.
• Willingness to learn new statistical methods, including, but not limited to, causal inference.

Desired Qualifications

• Master's degree in statistics, biostatistics, or related field.
• Three or more years of experience using statistical software for database management and statistical analysis.
• Experience with cloud-based data platforms and SQL programming.
• Experience working with Fitbit data.
• Experience with causal inference and G formulas.

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.

Additional Information

This position is term-limited for about 2 years (ending October 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 is firmly committed to advancing inclusion, diversity, equity, accessibility, and belonging, which are core to the culture and values of the Medical School Office of Research. Our community supports recruiting and cultivating a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan and the world. We strive to create a work culture where each team member feels respected, valued, and safe.

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 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.

Application Deadline

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 anytime after the minimum posting period has ended.

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.