Research - Laboratory/Non-Laboratory, Staff/Administrative
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.
TECHNICAL ASSOCIATE I/DATA SCIENTIST , Biological Engineering , to join the research group of Professor Ernest Fraenkel and implement, design, and build supervised and unsupervised algorithms to predict human performance in behavioral, cognitive, and physical tasks from their molecular features. Will be a part of the data science and engineering team within the Fraenkel Lab . Technological advances in the acquisition of biological data over the past decade have resulted in an explosion of information. Computational integration of different data modalities remains a key challenge, however, for researchers aiming to understand the underlying spatial and temporal biological processes. The technical associate will address this challenge through the application of state-of-the-art machine learning tools with the goal of generating new testable hypotheses, and perform other duties as assigned.
Job Requirements REQUIRED : B.S./BA.Sc. in computer science, data science, analytics or a closely related field; two years of specialized related experience (which may include experience gained as an undergraduate); experience with traditional and advanced machine learning techniques such as support vector machines, random forests, and deep learning algorithms; experience with deep learning implementation platforms such as TensorFlow and PyTorch; experience working with large datasets, munging, feature engineering, and developing machine learning models, preferably on clinical datasets; experience with Python/R/SQL; ability to work independently and as part of a team; self-motivation; attention to detail; excellent organizational and communication skills; and ability to carefully document and maintain work in detailed written records. PREFERED : a background in biology. Job #19572
Must be able to work some nights and weekends as required to meet project deadlines.
Internal Number: 19572
About Massachusetts Institute of Technology (MIT)
The mission of MIT is to advance knowledge and educate students in science, technology and other areas of scholarship that will best serve the nation and the world in the 21st century whether the focus is cancer, energy, economics or literature