Information on MIT's COVID-19 vaccination requirement can be found at the bottom of this posting.
TECHNICAL ASSOCIATE I, BIOINFORMATICS, Biological Engineering, to join the research laboratory of Professor Ernest Fraenkel and provide technical support for research projects related to biological networks and pathways that may be informative of human performance in behavioral, cognitive, and physical tasks. Will be part of the data science and engineering team within the Fraenkel Lab. Together with collaborators, the Fraenkel research group collected a unique dataset. Will apply existing algorithms to analyze the multi-omic data and have a critical role in interpreting the results, contribute to the development of new methods of analyzing the data and for using molecular data to predict performance, and perform other duties as needed.
REQUIRED: B.S./B.A. in computational biology/bioinformatics or a closely related field; at least two years' specialized related experience; experience working with omic datasets using bioinformatics packages such as those found on Bioconductor.org and GitHub; familiarity with the UNIX command-line interface; proficiency in R and/or Python languages; ability to work independently and as part of a team and to respond to the dynamic needs of the lab; self-motivation; attention to detail; and excellent organizational and communication skills, including the ability to carefully document and maintain work in detailed written records. PREFERRED: Background in applied machine learning would be helpful but not required. Job #21849
The position may require working occasional nights and weekends. Infrequent travel may also be required.
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