Connectionists: job: staff scientist/team leader at NIMH

[Francisco Pereira]

The National Institute of Mental Health (NIMH), National Institutes of
Health (NIH), Department of Health and Human Services (DHHS), is recruiting
for a Staff Scientist/Team Leader position to direct the Scientific and
Statistical Computing Core/AFNI Team (https://afni.nimh.nih.gov).The
primary function of this group is to support multimodal neuroimaging
research in the intramural research program (IRP) at NIH. This includes (i)
applying, extending, and developing new and existing software tools and
techniques to conduct pioneering analyses on a diverse array of
neuroimaging modalities (e.g. MRI, DTI, fMRI, MEG, PET, and EEG), (ii)
advising and training IRP researchers on neuroimaging analysis methods, and
(iii) leading the future growth and development of the AFNI code base (
https://github.com/afni/afni).

Primary responsibilities of the Team Leader will include serving as a
partner in and facilitator of neuroimaging research within the NIMH IRP;
providing guidance on study design; and ensuring that appropriate standards
of quality, rigor, and transparency are maintained. They will also act in
coordination with the leaders of the Data Science and Sharing (
https://cmn.nimh.nih.gov/dsst) and Machine Learning Teams (
https://cmn.nimh.nih.gov/mlt). Finally, they will be responsible for
management and supervision of approximately 9 full time staff members
including software engineers, statisticians, and other biomedical science
professionals.

The successful candidate must be committed to scientific excellence and
highly collaborative research, ensuring an immense impact on the fields of
brain imaging and mental health research. Candidates must have earned a
Ph.D. or M.D. and demonstrate experience as an outstanding scientist.
Applicants must possess the ability to analyze, prioritize, and delegate
resources while managing multiple projects. Expertise and experience should
include demonstration of positive and collegial interactions with staff at
all levels and the ability to communicate and promote their research,
software, and scholarly contributions. Applicants should also have
knowledge and experience in software engineering, including writing,
distributing, maintaining, and supporting scientific software for a large
user base while adhering to community recognized standards and practices.

Please see the official posting
https://cmn.nimh.nih.gov/compcore-job
for more details, including instructions on how to apply.
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