SAS & SQL Data Programmer for Health Analytics

Harvard University; Massachusetts; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Harvard University, located in Massachusetts, is seeking a skilled statistical programmer for the Department of Epidemiology at the Harvard T.H. Chan School of Public Health.

The role focuses on data cleaning, database creation, and analysis of electronic health records and administrative claims using SAS and SQL in UNIX and Windows environments. Candidates should have 2+ years of statistical programming experience and a strong background in biostatistics or related fields.

Qualifications

• 2+ years of professional statistical programming experience using SQL & SAS.
• Bachelor's or Master’s degree in a related field.
• Experience with big data and analytic databases is preferred.

Responsibilities

• Develop and deploy data cleaning, data management, variable creation, and variable naming protocols for projects involving electronic health records, administrative claims, and other complex databases.
• Create and maintain databases using SAS and SQL in collaboration with the research team.
• Create and link customized databases and analytic datasets in UNIX and Windows environments.
• Assist with the maintenance and documentation of software in SAS and SQL.
• Function as a resource for researchers, post-docs and other trainees to help debug programs and access correct data.
• Performs other duties as assigned.

Skills

Statistical programming

Big data handling

Data analysis

Communication skills

Education

Bachelor's degree in biostatistics, statistics, or CS

Master’s degree in related field (preferred)

Tools

SAS

SQL

Job description

Harvard University, located in Massachusetts, is seeking a skilled statistical programmer for the Department of Epidemiology at the Harvard T.H. Chan School of Public Health.

The role focuses on data cleaning, database creation, and analysis of electronic health records and administrative claims using SAS and SQL in UNIX and Windows environments. Candidates should have 2+ years of statistical programming experience and a strong background in biostatistics or related fields.