Research Project Manager

Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0010141 Salary Range: $81,434- $108,150 Position Summary/Description: The University of North Carolina at Chapel Hill, Department of Environmental Sciences and Engineering is seeking a Data Analysis Project Manager to oversee the day-to-day research operations of Institute for Environmental Health Solutions ( IEHS ). The manager will oversee numerous ongoing activities associated with multiple concurrent research projects of Dr. Rebecca Fry.  The Data Analyst Project Manager will become a key member of a dynamic research team by providing critical research expertise for complex high-dimensional data analyses in biomedical / environmental health research that includes: (1) developing novel advanced statistical methods and bioinformatics/cheminformatics pipelines to process, analyze, annotate and illustrate high-dimensional data, (2) analyzing large complex omics/high-throughput research data (e.g., genomics, metabolomics, exposomics and non-targeted chemical data), (3) discovering and proposing new research hypotheses through data mining, (4) contributing to research activities such as writing grant proposals, (5) reporting research results in posters and manuscripts, (6) presenting data and information to the research team, (7) serving as a research contact and data analyst manager for students, postdoctoral trainees, and research staff. Education and Experience: - Excellent written and oral communication skills, including experience with research presentations, grant proposals, and manuscript writing. - Outstanding programming and data analysis skills (R and Python preferred), with experience spanning omics, systems biology, chemistry, exposure science, epidemiology, and health outcomes. - Advanced data visualization and figure generation skills, with excellent organizational skills for data and script tracking and sharing. - Experience advising and training students and consulting on research projects, with demonstrated ability to communicate technical concepts effectively. - Demonstrated self-motivation and capacity for independently learning new technical skills, with strong ability to adapt to new research methods and tools. Essential Skills: - PhD in Bioinformatics, Biostatistics, or related field from appropriately accredited institutions.  - Expertise in a range of advanced statistical methodologies with application to high-dimensional data analysis  - Demonstrated expertise in statistical analysis (2+ years of experience) for large data sets related to biomedical and/or environmental health research  - Excellent skills in programming in several languages, including Python and R, in complex data analyses  - Experience in analyzing omics data, including genomics, metabolomics, exposomics and chemical data AA/EEO Statement: The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.