SAS Programmer

Harvard University • Boston, MA

2d • Hybrid

About The Position

The Department of Epidemiology, at the Harvard T.H. Chan School of Public Health, studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world. CAUSALab (within the Department of Epidemiology) conducts cutting edge research using large health care databases to determine what works. The investigators within the CAUSALab have obtained uninterrupted funding for their teams for more than 20 years. Currently this includes projects in HIV, cancer, cardiovascular diseases, COVID-19, pregnancy and methodological applications of causal inference and artificial intelligence. Results from studies have informed guidelines for the treatment and prevention of multiple diseases, and contributed to the innovation of methods to generate valid evidence from real world data. The candidate will join a core team comprised of another Senior Programmer and two Programmers. CAUSALab is seeking a full-time SAS Programmer to support a research team of faculty members (principal investigators Alejandro Szmulewicz, Sara Lodi and Miguel Hernán), postdoctoral researchers, students, and external collaborators. The Programmer will be responsible for the management of healthcare databases and other complex databases, as well as for the documentation of code.

Requirements

• Minimum of two years’ post-secondary education or relevant work experience
• Professional statistical programming experience using SQL & SAS is required
• Proficiency with Microsoft Office tools
• Experience in working with big data and independently building analytic databases
• Working knowledge of data analysis
• Basic knowledge of study design, research methodology
• Directly-related, practical experience in SAS and SQL, an engineering-like mindset, be mathematically oriented, and enjoy writing code for large and complex datasets
• Excellent written, verbal, and interpersonal communication skills
• Highly organized with a strong attention to detail and accuracy
• Experience collaborating with all levels of research team; demonstrated team performance skills
• Service-oriented mindset and approach

Nice To Haves

• Bachelor's degree, preferably in biostatistics, statistics or computer science
• Master’s Degree preferred in Public Health Domain, Statistics, Data Science, Computer Science, Mathematics, Informatics, or other health data related field
• Minimum of 2+ years statistical programming experience required (if have Master's degree)
• Minimum of 3+ years of statistical programming experience required (if have Bachelor's degree)
• Understanding of the healthcare domain, clinical, epidemiology and/or genomic data is a plus
• Natural Language Processing language is a plus

Responsibilities

• Develop and deploy data cleaning, data management, variable creation, and variable naming protocols of projects involving electronic health records, administrative claims, and other complex databases
• Create and maintain databases using SAS and SQL in collaboration with members of 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 to access correct data
• Performs other duties as assigned

Benefits

• Generous paid time off including parental leave
• Medical, dental, and vision health insurance coverage starting on day one
• Retirement plans with university contributions
• Wellbeing and mental health resources
• Support for families and caregivers
• Professional development opportunities including tuition assistance and reimbursement
• Commuter benefits, discounts and campus perks

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree