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Research Associate-Fixed Term

Back to search results Apply now Job no: 890157
Work type: Faculty/Academic Staff
Major Administrative Unit / College: College Of Agriculture And Nat Resources
Department: Food Science And Hum Nutrition Anr 10002348
Sub Area: FAS- Fac./Acad Staff
Salary: Salary Commensurate with Experience
Location: East Lansing
Categories: Research/Scientific, Fixed Term Academic Staff, Full Time (90-100%), Non-Union

Position Summary

The Department of Food Science and Human Nutrition at Michigan State University seeks a Postdoctoral Research Associate to work in Dr. Rita Strakovsky’s Perinatal Molecular Epidemiology group. The primary responsibilities for this position are to manage and perform biostatistical analyses on various epidemiological datasets, prepare abstracts and posters/presentations for scientific meetings, contribute to writing manuscripts related to perinatal epidemiology and fetal/women’s health, and help graduate and undergraduate students with these tasks. Specifically, the applicant will contribute to NIH-funded research related to the impacts of endocrine disrupting chemical exposures or diet in pregnancy on fetal development and maternal long-term health.

This position is a training opportunity, more than anything else. Dr. Strakovsky’s research group prioritizes trainee development and will provide opportunities to grow by attending various workshops, conferences, and networking/career development events. The postdoctoral trainee will also be encouraged to prepare and submit grants - together with Dr. Strakovsky and independently. Finally, there is potential for appointment to a NIEHS-funded T32 training grant for eligible applicants.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Doctorate -epidemiology, biostatistics, or a related

Minimum Requirements

  • A doctorate degree in epidemiology, biostatistics, or a related discipline, with strong focus on perinatal epidemiology and training in the management of large epidemiological datasets. 
  • Strong skills using the SAS (or similar) software to manage and analyze epidemiologic data.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively with diverse groups.

Desired Qualifications

  • Experience working with data related to nutritional and environmental epidemiology, especially in pregnancy, or a strong interest in learning.
  • Experience with statistical approaches to assess complex exposure mixtures, or interest in training in these methods.
  • Ability to work independently.
  • Good organizational skills.

Required Application Materials

Please submit a letter of interest, a current CV, and names and contact information for three references. Questions about the position can be sent to Dr. Strakovsky:


Review of Applications Begins On


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