Data Scientist

The University of Pittsburgh School of Nursing (PI: Lacey W. Heinsberg, PhD, RN) is seeking a highly motivated Data Scientist to help lead analyses across an active, interdisciplinary research program. Our work examines the genomic, epigenomic, environmental, and behavioral factors contributing to complex health outcomes. Current projects include community-partnered studies of pregnancy outcomes, child growth, and cardiometabolic health in Samoa and American Samoa, alongside collaborative genomi

Must be on our w2 Title: Bioinformatics/Genomics Pipeline Developer Duration: 1 Year Remote Scope: This developer will be working in one of our Genomics Pipeline Agile SCRUM development teams implementing features and functions in new or existing genomics pipelines. Requirements: -Understanding of BAM, Fastq, VCF and other genetics files and their contents, skilled in the languages noted above. Prior Bioinformatics experience or education is a plus. Be capable of describing a genetics testing

Advertising Summary: The Bioinformatics Shared Resource at Massey Comprehensive Cancer Center is seeking an AI Research Scientist to develop and deploy advanced machine learning, deep learning, and large language model solutions for cancer research. The ideal candidate will combine strong bioinformatics expertise with full-stack development and HPC/cloud deployment experience and will help expand AI-enabled research capabilities in support of Massey's Data to Discovery initiative. Benefits: All

Key Responsibilities: Develop and apply machine-learning and statistical approaches to protein structure, phenotypic, and other multimodal biological datasets. Curate, harmonize, and quality-control structured and unstructured data from internal and external sources. Build reproducible computational workflows for feature generation, model training, validation, and performance evaluation. Integrate protein structural representations with phenotypic and other biological data to generate testable h