Research Scientist

1 day ago


Charlottesville, Virginia, United States Commonwealth of Virginia Full time
Research Associate Position in Genetic and Molecular Epidemiology

The Yang Lab at the University of Virginia is seeking a highly motivated Postdoctoral Research Associate to join our team in the field of Genetic and Molecular Epidemiology. Our research program focuses on identifying genetic and molecular biomarkers for cancer risk and prognosis, as well as investigating microbiome-host interactions in cancer development.

Key Responsibilities:
  • Conduct research on DNA methylome-wide association studies (MeWAS) of cancers and N 6-methyladenosine (m6A) transcriptome-wide association studies (m6A-TWAS) of complex diseases.
  • Collaborate with the research team to analyze multi-omics data and identify potential biomarkers for cancer risk and prognosis.
  • Develop and implement computational methods for data analysis and visualization.
  • Present research findings at conferences and publish papers in peer-reviewed journals.
Requirements:
  • Ph.D. or M.D. degree in Epidemiology, Medicine, Biostatistics, Bioinformatics, or related health sciences.
  • Experience working with next-generation sequencing data and population-based cohort studies.
  • Strong programming skills in R and/or Python.
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • At least one peer-reviewed publication from PhD research as a lead author.
  • Understanding of the synergy of computational and experimental research.

This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding. Salary is commensurate with education and experience.

The University of Virginia is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.


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