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.
RESEARCH SCIENTIST/COMPUTATIONAL BIOLOGIST , Computer Science and Artificial Intelligence Laboratory (CSAIL)- Computational Biology Group , to work at the interface of computational and experimental work, develop new computational methods, integrate large-scale genetic and genomic datasets to understand disease circuitry, predict new therapeutic target genes and control elements, guide experimental dissection of and refine biological hypotheses, and generate new datasets for computational analysis. Applications include several human diseases, specifically neurodegenerative, neuropsychiatric, immune, and cancer. Will lead development and implementation of new computational, statistical, and machine learning (ML) methods to advance the practice of genetic, regulatory genomic and biomedical data analysis, producing interpretable and translational causal models for intuitive follow-up experiments; plan, design, and implement high-level research objectives; make independent decisions on technical problems and methods and collaborate with team members on resolving important research questions and on planning and coordinating the work of group members; present research at high-impact conferences and publish in high-impact journals; interact with sponsors and assist with writing project reports; and serve as a primary liaison with external collaborators and initiate new project concepts, develop technical proposals, and make presentations to prospective funders.
REQUIRED : Ph.D. in computer science/computer engineering or related engineering field; at least two years' postdoctoral experience; track record of computational biology research; experience working with high-dimensional genomic and statistical genetics data; clear understanding of state-of-the-art machine learning and artificial intelligence methods; comfort with a variety of programming languages and data science pipeline; excellent communication and presentation skills; and ability to work as part of a diverse, creative team of scientists. Seek someone who's passionate about fostering creativity in research and mentoring. Job #17266
Internal Number: 17266
About Massachusetts Institute of Technology (MIT)
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