REAL Data Analyst, HERCULES Exposome Research Center
Category : Student Opportunities
Description
Our project focuses on identifying environmental risk factors associated with fragile X-associated primary ovarian insufficiency (FXPOI). FXPOI, cessation of menses before age of 40, occurs in ~20-30% of women who carry a premutation (PM) form (55-200 CGG repeats) of the FMR1 gene. Why only some women with a PM suffer from ovarian dysfunction and others do not is unknown. To better understand this, we are conducting surveys on residential and occupational history and performing metabolomic analyses to identify environmental factors for age at menopause (AAM) in PM women. Identifying environmental risk factors or metabolites associated with AAM may lead to novel strategies for early detection, prevention and treatment.
Data collection has already begun for this project. Students will be involved in the analysis of the environmental data from residential and occupational surveys and the metabolomic data that will be generated from plasma samples.
Deliverables: Our goal with this project is to collect pilot data to submit a larger grant. We hope to be able to collect enough information from this pilot data to publish two papers: one on the occupational and residential history data and one on the metabolomic data. The data will be able to be summarized as a presentation or thesis, as needed, for students.
Preferred Qualifications
Proficiency in R and SAS is preferred. Experience with Geographic Information Systems (GIS) data would also be helpful, but isn’t required. Preferred Departments: BIOS, EH, EPI.
Additional Information
We can provide desk space in Suite 300 of the Dental School (1462 Clifton Road), if needed, but students may work remotely if that is preferred.
This position is funded by the HERCULES Exposome Research Center. All HERCULES REAL students are expected to produce a deliverable (e.g., project summary or presentation, data analysis, or thesis) and write a short summary of their experience for the HERCULES website.
How to Apply
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