The Brickman Lab at the Taub Institute for Research on Alzheimer's Disease and the Aging Brain is currently recruiting a staff associate interested in neuroimaging, large-scale data processing, and machine learning. Primary responsibilities include structural MRI imaging data acquisition and analysis, data quality control, implementing and refining a variety of existing neuroimaging software, and proactively collaborating with external research teams to meet deliverables. The associate will be the 'point person' for multiple research projects and help establish, track, oversee, and monitor neuroimaging acquisition protocols, data transfer, and data accounting. They will work with limited PI supervision in the integration of neuroimaging and behavioral data to investigate the potential roles of cerebrovascular disease in aging and dementia. As workload permits, there are opportunities for involvement in scholarly activities such as participation in seminars, case conferences, and manuscript preparation/co-authorship.
Requires a Bachelor's degree and at least 4 years of related experience, a Master's degree and at least 2 years of related experience, or an equivalent in education, training and experience.
The successful applicant must have a background in biomedical engineering, electrical engineering, neuroscience, neuroimaging and informatics, computer science, or related field. Substantial experience with human neuroimaging and very strong programming and analytic skills (including Python, Matlab, and R) are required.
Must be able to prioritize multiple work streams independently and communicate effectively with other team members. The ability to exercise sound judgement and discretion, maintain a high level of confidentiality, and meet internal and external deadlines is essential. Must have good attention to detail and accuracy, be conscientious, and willing to approach problems with innovation, creativity, and adaptability.
A Master's degree in neuroscience, a strong background in neuroimaging, and experience with scientific writing is desired. The ideal candidate is familiar with neuroimaging software (such as SPM, FSL, MRicon, or FreeSurfer), and has specific knowledge in the analysis of white matter hyperintensities, diffusion tensor imaging metrics, and regional volumetry/cortical thickness.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.