Programmer
3 months ago
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 Programmer to support a research team of faculty members (principal investigators Barbra Dickerman 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 development, maintenance, and documentation of code.
Job duties and responsibilities include, but are not limited to, the following:Develop and deploy data cleaning, data management, variable creation, and variable naming protocols of projects involving electronic health records, administrative claims, and other complex databasesCreate and maintain databases using R and SAS in collaboration with members of the research teamCreate and link customized databases and analytic datasets in UNIX and Windows environmentsAssist with the development, maintenance, and documentation of software in R and SAS (including R functions and SAS macros for data management and analysis support), and occasionally Python & SQLFunction as a resource for researchers, post-docs and other trainees to help debug programs and to access correct dataPerforms other duties as assignedThe successful applicant should have directly-related, practical experience in SAS and/or R and SQL, an engineering-like mindset, be mathematically oriented, and enjoy writing code for large and complex datasets.
PLEASE NOTE:
*This position is grant-funded and only a U.S. Citizen can be considered.
*This position has a term end date of two years from date of hire, with the possibility of extension.
*Shortlisted candidates will be required to submit work samples (sample code) and/or complete a coding assessment.
*The finalist will be required to complete both the Harvard University and US Veterans Administration background screening processes.
*This is a hybrid position - with both remote work and working on-site at Harvard T.H. Chan School of Public Health in Boston, MA.
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