Research Project Manager

UNC-Chapel Hill•Chapel Hill, NC

About The Position

The University of North Carolina at Chapel Hill’s Department of Environmental Sciences and Engineering is seeking a Data Analysis Project Manager to oversee the day-to-day research operations of the Institute for Environmental Health Solutions (IEHS). The manager will oversee activities across multiple concurrent research projects led by Dr. Rebecca Fry and serve as a key member of a dynamic research team. The role provides research expertise for complex, high-dimensional data analyses in biomedical and environmental health research. Work includes developing advanced statistical methods and bioinformatics or cheminformatics pipelines; processing, analyzing, annotating, and illustrating high-dimensional data; analyzing large omics and high-throughput datasets; identifying research hypotheses through data mining; contributing to grant proposals; reporting results in posters and manuscripts; presenting information to the research team; and serving as a research contact and data analysis manager for students, postdoctoral trainees, and research staff.

Requirements

  • PhD in Bioinformatics, Biostatistics, or a related field from an appropriately accredited institution.
  • Expertise in a range of advanced statistical methodologies applied to high-dimensional data analysis.
  • At least 2 years of demonstrated statistical analysis experience with large datasets related to biomedical and/or environmental health research.
  • Excellent programming skills in several languages, including Python and R, for complex data analyses.
  • Experience analyzing omics data, including genomics, metabolomics, exposomics, and chemical data.

Nice To Haves

  • Excellent written and oral communication skills, including experience with research presentations, grant proposals, and manuscript writing.
  • Strong programming and data analysis skills, preferably in R and Python, with experience spanning omics, systems biology, chemistry, exposure science, epidemiology, and health outcomes.
  • Advanced data visualization and figure-generation skills, and strong organizational skills for tracking and sharing data and scripts.
  • Experience advising and training students and consulting on research projects, with the ability to communicate technical concepts effectively.
  • Self-motivation and the capacity to learn new technical skills independently, along with the ability to adapt to new research methods and tools.

Responsibilities

  • Oversee day-to-day research operations and activities across multiple concurrent research projects.
  • Develop advanced statistical methods and bioinformatics or cheminformatics pipelines to process, analyze, annotate, and illustrate high-dimensional data.
  • Analyze large, complex omics and high-throughput research datasets, including genomics, metabolomics, exposomics, and non-targeted chemical data.
  • Discover and propose new research hypotheses through data mining.
  • Contribute to research activities, including writing grant proposals.
  • Report research results in posters and manuscripts.
  • Present data and information to the research team.
  • Serve as a research contact and data analysis manager for students, postdoctoral trainees, and research staff.
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