Research Principal

Research Principal

UPMC - 3.4

Pittsburgh, PA Job Details Full-time $24.32 - $40.54 an hour 20 hours ago Qualifications Computer operation Computer literacy Computer skills Full Job Description The Seney Lab (https://seneylab.pitt.edu) in the Translational Neuroscience Program and Department of Psychiatry at the University of Pittsburgh is seeking a highly motivated Research Principal to join an interdisciplinary research team studying the molecular and systems-level biology of psychiatric and substance use disorders. Our lab integrates large-scale omics data with behavioral phenotypes to understand mechanisms underlying brain disorders and to identify novel therapeutic targets. This position offers the opportunity to work on cutting-edge, data-intensive projects in a collaborative environment alongside neuroscientists and computational researchers. Join a collaborative and supportive research lab at a top-tier research institution where we offer opportunities for professional development, authorship, and conference presentations. This position is grant funded.

Responsibilities:

Analyze and interpret high-dimensional biological data, including transcriptomic (e.g., bulk and single-cell RNA-seq), epigenetic, and proteomic datasets Develop, implement, and maintain statistical and computational analysis pipelines Apply rigorous statistical methods to experimental design, hypothesis testing, and data interpretation Collaborate closely with experimental scientists to translate biological questions into analytic strategies Contribute to manuscript preparation and data visualization Document workflows and ensure reproducibility of analyses Masters degree required preferably in Psychology, Neuroscience, Counseling, Sociology, Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science, or related research field Minimum of two years of work experience in a research project and/or related clinical setting is required Familiarity with computers and common software packages required Working knowledge of research methodology required Prior supervisory experience preferred Strong programming skills in R preferred Experience working with large, complex biological or biomedical datasets preferred Solid foundation in statistical modeling and data analysis preferred Ability to work independently while contributing effectively to a team-based research environment Experience with RNA-seq and/or single-cell sequencing data preferred Familiarity with genomic analysis tools and pipelines (e.g., Bioconductor, DESeq2, Seurat) preferred Knowledge of experimental design in biological research preferred Experience with version control (e.g., Git) and reproducible research practices preferred Prior publication record or demonstrated contribution to peer-reviewed research preferred

Licensure, Certifications, and Clearances:

Act 34 UPMC is an Equal Opportunity Employer/Disability/Veteran