Short Term Research Assistant Service

LCC members can apply to use the services of a 10-hour per week graduate research assistant for a short period of time (typically 4-6 weeks). Priority is given to projects that (a) have a life course or population studies focus, broadly construed; (b) can quickly result in a publication and/or grant proposal; (c) can clearly benefit from short-term research assistance; and (d) do not already have external funding. Preference will be given to junior faculty. This is a free service. 

Short Term RA service applications for Fall 2025 will open soon!

To apply for this service, please complete this form and include the following information:

  1. Your name and departmental affiliation
  2. Details about your project: A title and a short (~2 paragraph) description of the overall project's goals and activities
  3. Describe the relevance or alignment of the project with the LCC research themes
  4. Information about the product that will result (e.g., a publication, a grant proposal, a conference presentation) and when that product will be produced
  5. A statement about current external funding support for the project
  6. A description of the specific activities the research assistant would do and (if not obvious) how they fit into the overall project
  7. Indicate in order of preference which of the upcoming time periods you request Short Term RA service. Each week is 10 hours. Exact start and end dates of RA service will depend on availability of the student.
    1. Dates TBD

Questions? Contact us at [email protected].

Our Summer 2025 Short Term RA is Habibat Oguntade!

Habibat's Skillls and Experiences:

Skills: R, STATA, data analysis, data management, data cleaning, work plans, manuscript development, literature review

As a public health professional, I specialize in understanding the structural and social determinants of health among historically disenfranchised groups. My work is focused on applying a health disparities lens to identify and address inequalities in health outcomes. With a strong foundation in causal inference, study design, and statistical analysis, I have the skills to identify appropriate analytic techniques to conduct epidemiological research and analyze public health data. I am adept at applying theoretical and conceptual frameworks to inform research and interventions aimed at improving health equity and reducing health disparities among underserved populations. I have experience collaborating with interdisciplinary teams and effectively communicating research findings to diverse audiences. Additionally, I possess a wide range of skills in data management, visualization, and dashboard creation. I am committed to contributing to public health research and advancing health equity.