Postdoctoral Associate/Data Scientist, Laboratory for Multiscale Regenerative Technologies
Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.
POSTDOCTORAL ASSOCIATE/DATA SCIENTIST, Koch Institute (KI) for Integrative Cancer Research-Laboratory for Multiscale Regenerative Technologies (LMRT), to join Dr. Sangeeta Bhatia and her team in its fight to stop lung cancer. Will design experiments, manage data, and use advanced statistical, machine learning, and computational techniques to discover new targets for the design of next generation diagnostic and early detection technologies for various cancers, including protease activity-based nanosensors, with the goal of detecting and stratifying disease early enough for interception; and collaborate with various KI teams to guide the development of molecules against those targets with data-driven biomarker plans and engage with other team members who work in parallel on other tumor types and pathologic states. Responsibilities include engaging with other teams to define scientific questions that can be addressed with computational, statistical, or modeling capability; proposing analysis strategies for target discovery, helping devise statistical methods for deciding significance, and ranking schemes for integrating data from many sources; identifying protease targets and biological contexts in which the nanosensors are likely to be beneficial by mining genetic, genomic, or screening data; and developing biomarker plans in collaboration with project teams. The position offers a rare opportunity to engage in cutting-edge research in an environment that combines the best of academic support and intellectual innovation with the financial and translationally-relevant resources of working with a major pharma partner.
Additional information is available at https://lmrt.mit.edu/.
REQUIRED: Ph.D. in a computational biophysics or bioinformatics-related field; strong communication, presentation, interpersonal, and collaboration skills; successful record of collaborating with cross-functional project teams; demonstrated ability to lead projects of moderate scope and map out critical path, milestones and timelines; and careful attention to detail. Job #16685
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.