Senior Data Analyst

Mass General Brigham•Boston, MA

1d•Hybrid

About The Position

The MGH Center for Health Outcomes and Interdisciplinary Research (CHOIR) within the Department of Psychiatry is seeking a Senior Data Analyst to our dynamic and growing team. CHOIR is an interdisciplinary clinical research center with a longstanding commitment to the development, testing and implementation of mind-body and lifestyle interventions for patients, caregivers, and patient-caregiver dyads in both hospital and community settings and across the lifespan. CHOIR is an established center with multiple NIH funded clinical trials, an internship in Clinical Psychology, a T32 postdoctoral fellowship, and a Resource Center for Minority Aging Research. A successful Senior Research Data Analyst will have experience conducting observational data analyses, working with raw data, and using large longitudinal datasets. They will be skilled in data organization, manipulation, and analysis, multiple regression modeling and diagnostics. The ideal candidate has strong analytic and methodological skills, excellent communication skills, experience working with health care data and medical claims data, and the ability to mentor and lead other members of the team.

Requirements

Ability to work well both independently and as part of a team.
Strong oral and written communication and presentation skills
Strong analytic and data management skills, especially with clinical and biostatistical analyses
Practical problem-solving and ability to move forward in a fast-paced environment
Ability to prioritize work, operate under tight deadlines, and meet deadlines.
Excellent organizational skills, accuracy, and attention to detail.
Proficiency with software packages, including Microsoft Office suite.
Resilient, collaborative, flexible, innovative.
Strong programming skills in SAS and willingness to learn other programming languages as necessary.
Advanced knowledge of statistical testing and multivariate modeling required (e.g., logistic, and linear regression, longitudinal models) used in Biostatistics/Epidemiology

Nice To Haves

Experience transforming and analyzing administrative healthcare data (e.g., Medicare/Medicaid, other claims-based or electronic medical records databases (EPIC)) is preferred.
Experience with compiling longitudinal datasets for analysis is preferred

Responsibilities

Assisting with database development
Software programming
Data management
Statistical analysis
Reporting results for a variety of internal and external projects and constituents
Work with large national survey, electronic health record (EPIC), and health insurance claims, and administrative datasets
Use SAS software and/or STATA, SPSS, Python, or R and other technical tools to clean data, build datasets, and run statistical analyses for multiple projects
Translating evaluation questions into analytic plans
Constructing analytic datasets by extracting raw data, including medical claims data, from electronic data warehouses and other sources as necessary
Producing appropriate data summaries
Conducting valid data comparisons and statistical tests