Intern - Research in Translational Science at HonorHealth in Arizona

Summary: HonorHealth is one of Arizona’s largest nonprofit healthcare systems, serving a population of five million people in the greater Phoenix metropolitan area. The Research Intern in Translational Science will assist with projects such as biomarker discovery and clinical protocol execution, supporting a Principal Investigator or Senior Researcher. 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 - The above job responsibilities describe the general nature and level of work to be performed. It does not restrict management’s right to assign or re-assign duties at any time Required Qualifications: - 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: Molecular techniques, Data analysis, Programming languages Important Skills: Scientific writing Nice-to-Have Skills: Literature reviews, Collaboration