RESEARCH ASSOCIATE, Center for Information Systems Research (MIT CISR), to address the real world business challenges that large companies face as they compete in the digital age. Will work with MIT CISR research scientists conducting rigorous journal-quality research on topics such as digital ecosystems, internet of things, and designing digital organizations; contribute--under the supervision of research scientists--to well-executed methodology and publications; be responsible for understanding, performing, managing, and improving the center’s quantitative methodologies, including sourcing and prepping data and advising research team on data availability and effective analysis strategies; support high quality research by managing survey and analytical processes across several annual research projects; and perform project management tasks, managing them with sharp attention to detail and creative, thorough problem solving.
REQUIRED: at least three years’ data science and research experience. Seek a motivated researcher who has extensive experience with data analytics; statistical methods; and predictive algorithms, including cluster and factor analysis, ANOVA, and regression. Experience with advanced methods such as structural equation modeling would be helpful. Solid experience with statistical packages, data visualization apps, and programming tools required. Should be comfortable discussing research with senior business leaders and academics, have excellent verbal and written communication skills, and be fluent in English. A Ph.D. is optional. Job #14204
Applications will be accepted until the position is filled.
In addition to applying online via the MIT HR website, please forward a CV, research sample, list of references, and cover letter describing how your research is relevant and applicable to senior business leaders to Chris Foglia at email@example.com. Please include a brief description of your career interests and strengths.
This is a two-year appointment with the possibility of extension.
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.