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Senior Programmer
Harvard University T.H. Chan School of Public Health in Boston, Massachusetts
Date Posted 03/04/2021
Employment Type
Application Deadline Open until filled

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.
The Department of Epidemiology is seeking a full-time Programmer to support a research team of faculty members (principal investigators Miguel Hernán and Sonia Hernández-Díaz), postdoctoral researchers, students, and external collaborators. The Programmer will be responsible for data cleaning and management of healthcare databases and other complex databases, as well as for the development, maintenance, and documentation of code.

Job responsibilities and duties 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 databases
  • Create and maintain databases using R and SAS in collaboration with members of the research team
  • Create and link customized databases and analytic datasets in UNIX and Windows environments
  • Lead 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 & SQL
  • Function as a resource for researchers, post-docs and other trainees to help debug programs and to access correct data
  • Identify inefficiencies in the programming and data management infrastructure and advise the Principal Investigator on potential solutions and alternatives
  • Obtain approval to access and work with data from US Veterans Administration
  • Troubleshoot the team's IT server infrastructure
  • May assist the PIs with development of data management standard operating procedures and policies
  • Performs other duties as assigned
The successful applicant should have directly-related, practical experience in SAS, an engineering-like mindset, be mathematically oriented, and enjoy writing code for large and complex datasets.
PLEASE NOTE: This position has a term end date of two years from date of hire, with the possibility of renewal.
PLEASE NOTE: Shortlisted candidates will be required to submit work samples (sample code) and/or complete a coding assessment.
PLEASE NOTE: The finalist will be required to complete both the Harvard University and US Veterans Administration background screening processes.
PLEASE NOTE: The primary work location for this position is Boston, Massachusetts. Until our return to campus, which is still to-be-determined, this interview process and position will be conducted virtually – including virtual interviews, remote onboarding, and remote work. The remote nature of this position is only temporary. Local, on-campus work will be required as a condition of continued employment once the School and this role return to an operational status that supports it.

  • Harvard University requires pre-employment reference checks and background screenings.
  • This position has a 90 day orientation and review period.
  • The Harvard T.H. Chan School of Public Health does not provide visa sponsorship for administrative and staff positions.
The Harvard T.H. Chan of Public Health is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – including fostering respect for all, serving the greater good, and welcoming individuals from diverse backgrounds, experiences, and perspectives. To learn more about the Chan School's mission, objectives, and core values, please visit our website here .
Harvard offers an outstanding benefits package including:
  • Time Off: 3- 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year.
  • Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
  • Retirement: University-funded retirement plan with full vesting after 3 years of service.
  • Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools.
  • Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
  • Wellness Options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services.
    Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston.
Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country!
Salary Grade: 057
Union: 00 - Non Union, Exempt or Temporary

  • Minimum of 2+ years post-secondary education and/or relevant work experience
  • Professional experience working with SQL required
  • Professional working experience with R, SAS and/or related software required.
PLEASE NOTE: The finalist will be required to complete both the Harvard University and US Veterans Administration background screening processes.
PLEASE NOTE: Shortlisted candidates will be required to submit work samples (sample code) and/or complete a coding assessment.

  • Bachelor's Degree strongly preferred -- in Statistics, Data Science, Computer Science, Mathematics, Informatics, or other health data related field strongly preferred
  • Experience with Python preferred
  • Knowledge of maintenance and support of IT infrastructure systems within an enterprise environment preferred
  • Excellent written, verbal, and interpersonal communication skills preferred
  • Excellent time management skills preferred
  • Highly organized with a strong attention to detail and accuracy preferred
  • Experience collaborating with all levels of research team; demonstrated team performance skills preferred
  • Service-oriented mindset and approach preferred

EQUAL OPPORTUNITY EMPLOYER: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Internal Number: 53520BR
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