Statistician Expert

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 41,000 - 69,000; Part time

Job summary

Michigan Medicine seeks a highly motivated Data Analyst to collaborate with project managers and investigators on PTSD clinical trials. The role emphasizes rigorous data analysis, quality control, and clear communication of results to diverse stakeholders.

The position is part-time (16 hours/week) with a hybrid work mode and in-person work in Ann Arbor, MI at Michigan Medicine locations. Experience with SQL, R, Python, and data visualization is valued.

Qualifications

• Bachelor's degree in a highly quantitative discipline; 10+ years of professional experience preferred.
• Proficiency in data visualization tools and statistical software; SQL, SPSS, SAS, R, Python, and related databases.

Responsibilities

• Designs, conducts, and interprets complex statistical analyses with accuracy and clarity.
• Develops data quality checks and procedures to strengthen data integrity.
• Designs and documents advanced models and algorithms for reusable use across projects.

Skills

R

Python

SQL

Data visualization

Statistical analysis

Big data

Education

Bachelor's Degree in a quantitative discipline

Tools

SPSS

SAS

Job description

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.

Job Summary

We are seeking a highly motivated, responsible, and detail-oriented Data Analyst to work collaboratively with project managers and investigators on clinical trials examining effective treatments for PTSD.

Responsibilities*

Data Analysis

Designs, conducts, and interprets complex statistical analyses, ensuring findings are accurate, defensible, and clearly interpretable by investigators and project teams. Performs advanced data quality checks and develops procedures to strengthen data integrity. Recommends appropriate statistical methods that align with project goals and available data. Prepares advanced and novel visualizations of analytical results for presentations, reports, and peer-reviewed publications. Provides clear statistical interpretation and methodological clarity of results, suitable for diverse audiences. Leads or substantially contributes to methods and results for presentations, reports, and peer-reviewed manuscripts. Mentors team members in analytic and reporting best practices and provides reusable code that junior staff can adapt for their work. Maintains expert awareness of emerging methods, software, and data science tools. Evaluates and integrates new approaches to improve efficiency, accuracy, and analytical power, and advises teams on their application.

Computer Modeling

Designs, implements, validates, and documents complex algorithms and models, ensuring accuracy, reproducibility, and adherence to best practices; develops code for reuse across projects. Anticipates computational challenges and accurately estimates time, resource, and infrastructure needs, proactively adjusting plans. Identifies opportunities for methodological innovation and implements novel modeling or analytic strategies to improve efficiency, scalability, or scientific rigor. Establishes quality control processes, ensures transparent documentation, and provides guidance to strengthen modeling rigor across projects.

Design And Management Of Databases And Information Systems

Designs, creates, and manages large and complex project databases, integrating diverse data sources, creating complex measures, and ensuring efficiency, reproducibility, and high-quality documentation. Develops reusable data extraction scripts or data management pipelines that support multiple projects. Maintains expert-level knowledge of study databases and related systems and uses this expertise to guide data assembly strategies, support colleagues, and optimize workflows across projects. Establishes standards for reproducible code and data workflows, ensuring that project data can be accurately recreated and verified; mentors staff in best practices for data integrity and transparency. Safeguards sensitive data by adhering to data-security policies, data-use agreements, and regulatory requirements; provides guidance to others on compliant data handling.

Technical Assistance And Consultation

Serves as a primary resource on study data, analysis, and database design and management. Contributes to best practices that strengthen accuracy, reproducibility, and efficiency. Shares expertise through seminars, workgroups, consultations, and code examples. Leads or supports recruitment, training, and mentorship of quantitative staff, fostering continuous learning and a culture of excellence. Manages multiple projects and investigators simultaneously, identifying and resolving conflicts to maintain timelines. Demonstrates initiative in balancing priorities and resources.

Required Qualifications*

Bachelor's Degree in a highly quantitative discipline is the absolute minimum requirement (e.g., Data Science, Statistics, Computer Science, Information School/Informatics, or a related field). 10+ years of increasingly responsible professional experience. The candidate for this position must have experience in the following areas:

• Technical: Proficiency in data visualization tools such as SQL,SPSS, SAS, R, Python, and database software; experience with data integration, automation, and process optimization.
• Analytical: Strong statistical analysis, regression, clustering, and data quality management skills.
• Methodology: Experience with predictive analysis, big data mining, and operational effectiveness.
• Communication: Ability to translate complex data findings into clear, actionable narratives for varied audiences.
• Project Management: Experience managing large projects, processes, or activities; ability to work independently with minimal supervision.

Desired Qualifications*

Preferred Masters Degree Or Ph.D.

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

This is a part-time, regular 16 hours a week appointment. Hours for this position will be worked during the week Monday through Friday and between the hours of 9:00 AM - 5:00 PM.

Work Locations

This position is part of a hybrid work environment. When in person , location for this position is in Ann Arbor, MI at one of Michigan Medicine's off campus locations.

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. In addition to the screenings indicated above under Michigan law, a criminal history check including fingerprinting is required as a condition of transfer or employment for this position.

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 any time after the minimum posting period has ended.

E-Verify

The University of Michigan participates with the federal EVerify system. Individuals hired into positions that are funded by a federal contract with the FAR EVerify clause must have their identity and work eligibility confirmed by the EVerify system. This position is identified as a position that may include the EVerify requirement.

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.