Post-Doctoral Fellow in Big Neuroimaging Data, Alzheimer's Disease and Neuropsychiatric Symptoms

A post-doctoral fellow is needed to work on an NIA-funded project that involves combining multi-modal MRI data from several different large scale Human Connectome Project studies to investigate brain structure, function, and physiology in individuals with neuropsychiatric symptoms of Alzheimer’s Disease. The individual will be appointed as a Research Fellow in the Department of Psychiatry at Harvard Medical School and will be based at McLean Hospital in Belmont, MA, near Harvard Square and Boston. The position is full-time and benefits eligible, start date negotiable, starting salary up to $64K/year.

A candidate with expertise in any of the following areas is desired: large-scale open access neuroimaging data management, organization and processing; cloud computing for imaging analyses at scale; multimodal MRI data analysis, including diffusion, structural, blood-flow related, and task and resting state functional MRI data; open science practices such as ReproNim; multivariate data driven and machine learning methods; NIMH Research Domain Criteria; cognitive and affective neuroscience; and neurobiology of aging, dementia, and neuropsychiatric symptoms. We will provide training as needed to round out expertise for the specific roles on the project.

Additional Opportunities: The post-doctoral fellow will be supported to pursue desired training related to clinical interests and career development, including grant writing, presenting and publishing findings, and attending professional development and scientific workshops, symposia and conferences. We have an excellent record of preparing post-doctoral fellows to become independent investigators on the academic track and will support the fellow to submit their own foundation grants, NIH K grants, etc.

We also offer a hybrid work schedule, with flexible office hours to help caregivers, those with children, and those with unconventional hours of greatest productivity. Individuals from underrepresented racial and ethnic groups, individuals with disabilities, those from disadvantaged backgrounds, and women from these backgrounds are strongly encouraged to apply. It is the policy of McLean Hospital to affirmatively provide equal opportunity to all qualified applicants for employment and existing employees without regard to their race, religion, color, national origin, sex, age, ancestry, protected veteran status, disability, sexual orientation, gender orientation or any other basis that would be in violation of any applicable law or regulation.

Minimum Requirements:

• PhD in physics, imaging physics, computer science, biomedical sciences, statistics, computational psychiatry, or a neuroscience-related field with a strong focus on neuroimaging
• Experience with brain image analysis, including SPM, AFNI, and/or preferably FSL
• Demonstrated analytical, verbal, and scientific writing skills
• Interest in aging, Alzheimer’s Disease and/or psychiatric disorders in aging 2-year minimum commitment (the study is funded for five years)

Additional Desired Qualifications:

• Python, Matlab, and/or R, software development and distribution (GitHub)
• Multivariate statistical methods and machine learning methods
• Experience with large open access multi-modal neuroimaging datasets (UKBB, HCP, ADNI etc)

To Apply: For the initial application phase, please send your full CV and a cover letter that briefly describes your research interests and experience and publications related to qualifications as described above to:

Lisa Nickerson, Ph.D.

nickersn@mclean.harvard.edu