SAS Programmer for Public Health Data Science

Harvard University; Boston (MA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Retirement plan

Wellbeing resources

Family support

Tuition assistance

Commuter benefits

Job summary

Harvard University’s Harvard T.H. Chan School of Public Health is seeking a full-time SAS Programmer to support CAUSALab researchers. The Programmer will manage healthcare databases and create SAS/SQL analytic datasets for a team led by Alejandro Szmulewicz, Sara Lodi, and Miguel Hernán.

You will work in UNIX and Windows, develop data cleaning pipelines, and help researchers debug programs. A Bachelor's in biostatistics or related field is preferred; US citizenship is required for grant-funded

Qualifications

• Two years of post-secondary education or relevant work experience.
• Proficiency in SQL and SAS required.
• Experience with big data and analytic databases preferred.
• Excellent written and verbal communication skills.
• US citizenship required for grant-funded position.

Responsibilities

• Develop data cleaning, data management, and variable naming protocols for projects involving EHRs and claims.
• Create and maintain databases using SAS and SQL in collaboration with the research team.
• Link customized databases and analytic datasets in UNIX and Windows environments.
• Assist with maintenance and documentation of SAS and SQL software.
• Serve as a resource for researchers to debug programs and access correct data.
• Performs other duties as assigned.

Skills

SAS programming

SQL

Data management

UNIX / Windows

Biostatistics knowledge

Communication skills

Education

Bachelor's degree in biostatistics or related

Master's degree preferred

Tools

SAS

SQL

Job description

Harvard University’s Harvard T.H. Chan School of Public Health is seeking a full-time SAS Programmer to support CAUSALab researchers. The Programmer will manage healthcare databases and create SAS/SQL analytic datasets for a team led by Alejandro Szmulewicz, Sara Lodi, and Miguel Hernán.

You will work in UNIX and Windows, develop data cleaning pipelines, and help researchers debug programs. A Bachelor's in biostatistics or related field is preferred; US citizenship is required for grant-funded