Are you a driven and passionate individual with expertise in machine learning, bioinformatics, biostatistics, genomics, genetics, computational biology, or cancer biology? If so, we invite you to become part of our dynamic team at Dr. Gu's lab at the Versiti Blood Research Institute in Milwaukee, WI. We are seeking a highly motivated postdoctoral research associate to contribute to groundbreaking research in the field of multi-omics data analysis, cancer biology, and biomarker discovery. You will have the unique opportunity to develop and implement cutting-edge machine learning algorithms and statistical models. These tools will be applied to unravel the complexities of multi-omics data, shedding light on the mechanisms underlying cancer biology (leukemia, lung, and kidney cancer) and facilitating the identification of early diagnostic and treatment biomarkers. Additionally, if you have an interest in experimental work, you will have the chance to gain valuable hands-on experience and training.
• A Ph.D. degree in one of the following fields for the postdoc position: bioinformatics, biostatistics, computational biology, computer science, electrical engineering, cancer biology, molecular biology, or a related discipline.
• Proficiency in Python or R, ideally both.
• Strong analytical skills.
• Excellent communication abilities, essential for collaborating within our interdisciplinary research team.
• Knowledge of biology, genomics, genetics, and Next Generation Sequencing data is a valuable asset.
To apply for this position, please submit your CV, a cover letter detailing your research interests and relevant experience and contact information for at least three references to tgu@versiti.org. Or apply through our website: Postdoctoral Fellow - Gu Lab in Wauwatosa, Wisconsin | Careers at Wauwatosa BRI (icims.com)