Computational Research Assistant

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Sep 21, 2018


The National Socio-Environmental Synthesis Center (SESYNC), located in Annapolis, MD, seeks a Research Assistant to join the Center’s data science team and provide support for communications efforts at the Center. The successful candidate will have experience in using R or similar scripting/statistical language for data management and analysis, be self-motivated, and have a strong interest in socio-environmental issues. The candidate will have a desire to learn and apply new tools in the service of interdisciplinary science teams who seek to answer pressing problems at the intersection of humans and the environment by synthesizing existing data, methods, and theories in novel ways. Job duties include:

  • Provide support for reproducible data management, analysis, and visualization by developing custom scripts to assist resident fellows and science teams;
  • Assist and instruct during computational short courses with an emphasis on use of R as a primary tool;
  • Assist resident fellows and teams in designing and building interactive web visualizations of data using R shiny;
  • Contribute to the development and maintenance of websites
  • Summarize research findings and opportunities for web-based distribution
  • Assist with the dissemination of research opportunities via web platforms and social media
  • Maintain catalogs of research publications and computational support provided to SESYNC projects;
  • Other duties as assigned

Minimum Qualifications:

  • Bachelor’s in a science-related field (natural, social, or computer science);
  • Demonstrated excellence in interpersonal and written communications;
  • Demonstrated experience with statistical software (e.g., Stata, SAS) or programming language (e.g., R, python)
  • Minimum 1-year full-time experience in a professional setting
  • Demonstrated ability to manage and track multiple assignments with competing deadlines;
  • Demonstrated ability to take initiative in identifying and solving research-related problems


  • Demonstrated experience with web and social media technologies
  • Demonstrated ability to learn new computational/statistical tools
  • Experience working as part of a team of professionals
  • Proficiency in R, especially R shiny;
  • Proficiency with SQL or GIS
How to Apply: 

Please submit a cover letter detailing your interest and qualifications for the job, along with your resume and three professional references as a single PDF below. You may include an optional URL to a project portfolio (e.g., GitHub, website/blog).

For best consideration application materials should be received by September 21, 2018

“The University of Maryland, College Park, and equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment.  The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.” 

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