Clinical Data Analyst for Mental Health Wearable Analytics

BlackHealth; Ann Arbor (MI); Hybrid; USD 90,000 - 110,000; Full time

Job summary

The University of Michigan's Michigan Neuroscience Institute in Ann Arbor seeks a Clinical Info Analyst Inter to support the COMPASS project, focusing on data management, programming, and analysis of EHR, wearable, and other data sources. You will develop analysis plans, run statistical methods, and help prepare manuscripts while coordinating with researchers across multiple projects in a collaborative environment.

Hybrid work options are available.

Qualifications

• Bachelor's degree in statistics, biostatistics, or related field.
• At least 3 years of related experience.
• Proficiency with large datasets and statistical software (SAS preferred, STATA/SPSS/R acceptable).
• Experience with healthcare data and EHR/claims data.
• Strong written and spoken English communication.

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 in discussions on analysis and data collection improvements.
• Develop and draft analysis plans.
• Independently conduct appropriate data analyses.
• Perform power calculations and estimate sample size.
• Assist in writing manuscripts.
• Collaborate with researchers to define questions and apply methods.

Skills

Statistical analysis

Data management

Independent worker

Communication skills

Education

Bachelor's degree in statistics/biostatistics or related field

Master's degree preferred

Tools

SAS

STATA

SPSS

R

Excel

PowerPoint

Job description

The University of Michigan's Michigan Neuroscience Institute in Ann Arbor seeks a Clinical Info Analyst Inter to support the COMPASS project, focusing on data management, programming, and analysis of EHR, wearable, and other data sources. You will develop analysis plans, run statistical methods, and help prepare manuscripts while coordinating with researchers across multiple projects in a collaborative environment.

Hybrid work options are available.