Our work lies at the intersection of diverse computational approaches including machine learning and mechanistic modeling, combined with translating new methods of assessing biology to systems approaches. Critically, this combination is synergistic; models in systems biology will always be only as good as the information used to assemble them, and as our understanding of biology begins to assemble from information about single proteins, we need quantitative models to understand and even communicate these complex processes.
Congrats to Ted and Annelien for winning Koch Institute travel awards!
The Meyer lab is looking to hire a postdoctoral associate, to develop and implement new strategies evaluating immune-tumor cell communication and targeted therapy resistance. Will help design and implement quantitative biochemical and phenotypic assays, analyze data, and interpret biological significance. Responsibilities will include communicating results to the scientific community through publications and presentations.
Requirements: A Ph.D. in biological sciences, computer science, engineering, physics, math, or related field. Must have experience in the following technical areas: computational methods and tools for analysis, and statistics; and biological experience in one of the following: molecular biology, immunology, or cancer biology. Strong analytical and problem-solving skills are highly valued. Seek a highly motivated, independent individual with excellent documentation skills; strong interpersonal skills; and the ability to contribute in a multidisciplinary team setting, prioritize and perform multiple tasks in a dynamic environment, and execute detailed technical protocols meticulously.