Careers

DataHaven is an equal opportunity employer. We do not and will not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items. We commit to affirming the value of diversity and promoting an environment free of discrimination. We are interested in every qualified candidate eligible to work in the United States (see job postings for details); however, immigration or work visa sponsorship will not be provided.

Open Roles

DataHaven works with several intern research assistants and fellows each year. Over the past 10 years, DataHaven has hosted interns with fellowships and/or external funding from many of the region’s leading undergraduate and graduate programs, including those at Brown University, Connecticut College, Emory University, Georgetown University, Harvard University, Hobart and William Smith Colleges, Southern Connecticut State University, UAlbany, UConn, Wesleyan University, Williams College, and Yale University. We have also hosted several students with funding through the Connecticut Public Health Fellowship Program (PHFP), a CT Department of Public Health (CT DPH) career pathway program.

DataHaven is a non-profit 501(c)3 organization that directly supports hundreds of community, academic, government, health care, and institutional organizations throughout Connecticut by collecting, interpreting, and sharing high-quality public information. As an organization with over 30 years of public service, DataHaven is also a formal affiliate of the National Neighborhood Indicators Partnership (NNIP), a collaborative national effort by the Urban Institute and local partners to further the development and use of neighborhood information systems in local policymaking and community building.

For all internship and fellowship positions, DataHaven has a strong preference for interns and fellows with external sources of funding (e.g., temporary work study, summer awards, students working directly under supervision of faculty for pay/stipend, fellowships from government or non-profit agencies/programs, and/or fellowships that are paid directly by a college or university that they attend). The external funding must be provided through a recognized institutional or fellowship program, not self-funding. Given that DataHaven is a non-profit organization, these external sources of funding help us expand our staff capacity and supervise additional interns/fellows without needing to allocate funding for a new position. During the past 10 years, at least 90% of our interns and fellows have had external funding. If you apply for a research assistant, fellowship or internship position, please indicate your relationship with potential external fellowship funding opportunities.

We encourage you to contact us well in advance of the start of a potential internship/fellowship.

Description of Role

Internships and Research Assistant roles at DataHaven are full‐time or part-time positions based in downtown New Haven, Connecticut. The Research Assistant or Intern will help analyze data from the DataHaven Community Wellbeing Survey, a statewide survey that has completed over 50,000 interviews with randomly-selected adults since 2015. The Research Assistant or Intern will also collect and analyze Connecticut town data pertaining to demographics, health, economics, equity and inclusivity, and quality of life. They may also conduct qualitative research, or work on communications, writing, and public outreach assignments. The ideal candidate will enjoy working with different research techniques to document and answer questions about social and economic well-being in our communities, and will use their strong written and oral communications skills to communicate these issues to a broad audience.

Minimum Qualifications

  • Educational background including training in statistics and data science, economics, geography, sociology, political science, history, anthropology, city planning, public health, or related fields;
  • At least 1 year of work experience processing and analyzing quantitative and/or qualitative data, and a rigorous attention to detail;
  • Ability to work both independently and collaboratively with staff on multiple projects in a fast-paced, dynamic environment and within tight timeframes;
  • Excellent oral and written communications skills;
  • Curiosity and love of data.

Preferred Qualifications

  • Demonstrated interest and knowledge of methods used to analyze, visualize, or describe existing data sets in ways that make them more useful to the general public;
  • Experience working with public opinion, social, or public health survey data with an understanding of how survey weights are used to create population-level estimates for different geographic areas;
  • Over 1 year of experience working with raw data from large-scale, high-quality national or statewide surveys and databases using R, SPSS, or other statistical analysis software;
  • Experience working within Connecticut and/or an understanding of the diverse communities that live in these areas;

How to Apply

Please submit your cover letter, and a resume, via email to info (at) ctdatahaven.org. Due to our small staff size, we are unable to respond to inquiries about this position, and phone calls will not be accepted. The cover letter should explain your interest in the position and describe your relevant experience, as well as indicate your potential availability and preferred start date and work schedule. Interns and research assistants should detail potential and/or expected sources of external funding, if available.

*Multiple positions available each year

Volunteer or Independent Research Inquiries

Although DataHaven’s capacity to work with independent volunteers is very limited at this time, research and service projects may be proposed by individuals or teams (e.g., a research lab at a university). If proposing an independent project, please send an email with a detailed description of what project you propose to work on, the project timeline, your background and training in the area, a list of individuals that you would be collaborating with, and how DataHaven might be able to help advise your work, contribute to your research, or co-author a study with your team.

Other Opportunities

If you have a combination of quantitative analysis skills, experience working with public data, and a professional background in the development and use of neighborhood-level information resources, please feel free to email us your CV/resume. We always enjoy hearing from individuals with a demonstrated interest in DataHaven’s work.

Other Opportunities Related to Public Data in CT

Please see our Connecticut Data jobs board.