Data Analyst/Programmer (Research Assistant 1)

Job description

Job Title: Data Analyst/Programmer (Research Assistant 1)
Job ID: 2018689
Location: Avery Point Campus
Full/Part Time:

Job Posting

The University of Connecticut (UConn) seeks applicants for the position of Data Analyst/Programmer (Research Assistant 1) in the Connecticut Institute for Resilience and Climate Adaptation (CIRCA) to provide support for activities associated with the development of the Connecticut Connections Coastal Resilience Plan, and related project. CIRCA is a multidisciplinary center that coordinates applied research and engagement programs to develop and advance practical solutions to problems caused by changing climate (

The Data Analyst/Programmer (DAP) will work in a team developing science that supports a four-year project to develop a prototype resilience framework for Connecticut. With the supervision of the Executive Director, the DAP will support and facilitate the collection and archiving of data, and the development, testing and application of numerical models of circulation in complicated coastal areas to determine levels and patterns of flood risk. Field work and the preparation of maps using GIS will be required.


  • Collect and archive data.
  • Develop programs for data manipulation and preparation of graphics.
  • Prepare maps in GIS.
  • Conduct oceanographic field work/observation campaigns.
  • Author data reports.
  • Participate in workshops and meetings.
  • Participate in capacity-building studies and engagement programs.
  • May be responsible for miscellaneous duties as assigned.
  • May participate in the planning, development and implementation of grant proposals.

  1. Bachelor's degree in marine, earth or environmental science, engineering, or closely related field
  2. Experience with computer programming and data analysis.
  3. Experience with computing technology (e.g. UNIX, Matlab, FORTRAN) and data management.
  4. Experience with GIS.
  5. Excellent communication skills (verbal and written).
  6. Strong organizational skills and ability to work effectively with a team of collaborators.
  7. Ability to perform work in multiple locations, conduct oceanographic field work, and attend occasional evening and weekend meetings.

  1. Experience with modern, community models of coastal circulation and wave dynamics
  2. Experience with THREDDS.
  3. Experience with WEB-based GIS
  4. Knowledge of Python


This will be a 40-hours per week, 11-month, annually renewable, non-tenure track position at the level of Research Assistant 1, with an expected commitment of four years, depending on funding and performance. Salary will be commensurate with experience.


Applications must be submitted through the UConn Jobs website: (under Staff Positions), and should include a letter of application, resume, a short sample of writing, and the names and contact information of three professional references. Review of applications will begin immediately. For full consideration, please apply by 11:59 pm on July 15, 2018. Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search #2018689)

For confidential inquiries or additional information, please contact Lauren Yaworsky at [email protected].

This job posting is scheduled to be removed at 11:59 p.m. Eastern time on July 15, 2018.

All employees are subject to adherence to the State Code of Ethics which may be found at

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.





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Job No:
Posted: 9/5/2018
Application Due: 9/18/2018
Work Type: