Intern - Research in Translational Science at HonorHealth · Medical…

Summary: HonorHealth is one of Arizona’s largest nonprofit healthcare systems, dedicated to caring for the health and well-being of people and communities across the greater Phoenix area. They are seeking a Research Intern in Translational Science to assist with projects that bridge basic research with clinical practice, including laboratory experiments and data analysis. Responsibilities: - Lab Work: Processing biological samples such as blood and tissue, performing molecular techniques like IHC, PCR, Western blots, and cell culture, and developing new assays - Data Analysis: Help analyze bioinformatics data, develop predictive models, and perform quality control on datasets using statistical software - Documentation and Reporting: Keep detailed lab or project logs; prepare summaries, presentations, or progress reports - Study Support: Assisting with protocol design, drafting documents, and managing study data for preclinical or clinical studies - Literature Reviews: Search, read, and summarize existing research or scholarly articles - Collaboration: Work with interdisciplinary teams, attend meetings, brainstorm, and troubleshoot issues - Performs other duties as assigned Required Qualifications: - Bachelors Enrolled in or recently graduated from a bachelor's or master's degree program in biology, psychology, population science, biochemistry, bioinformatics, computational or computer science, genetics, mathematics, or a related discipline - A strong scientific interest with a foundational understanding of biology and familiarity with research methodologies and data analysis basics Preferred Qualifications: - Hands-on experience with molecular biology and biochemical techniques or knowledge in at least one programming/scripting language (R, Python), statistics, and scientific writing Required Skills: Biology, Molecular biology, Biochemical techniques, Immunohistochemistry (IHC), Polymerase Chain Reaction (PCR), Western blot, Cell culture, Assay development, Bioinformatics, Predictive modeling, Statistical software, Data analysis, Scientific writing, Research methodologies, Programming languages - R, Programming languages - Python