Connectionists: job: machine learning researcher in the NIMH IRP

[Francisco Pereira]

Full details here: https://github.com/nih-fmrif/mlc_job_ad
and here:  https://github.com/nih-fmrif/ADS_job_ad

HIRING: Machine learning in neuroimaging researcher

Who we are:

The National Institute of Mental Health (NIMH) is the lead federal agency
for research on mental disorders. NIMH is one of the 27 Institutes and
Centers that make up the National Institutes of Health (NIH), which is
responsible for all federally funded biomedical research in US. NIH is part
of the U.S. Department of Health and Human Services (HHS). The NIH is a
highly rated employer at glassdoor.com with very competitive salary and
benefits packages.

The Machine Learning Core (MLC) is a new group created to support the use
of machine learning methods in analyzing human neuroimaging data, collected
within the NIMH Intramural Research Program (IRP) or from functional and
anatomic imaging databases worldwide. The MLC will both develop new methods
and provide education and support to NIMH IRP researchers using machine
learning approaches.

What you will do:

You and the team will be responsible for assisting NIMH IRP investigators
in using machine learning methods to answer clinical and scientific
questions. Key areas of work include biomarkers to help diagnose mental
health and neurologic disorders, as well as the development of models of
mental processes in healthy subjects. You will help devise research
approaches using prediction models that combine imaging and non-imaging
data, and leverage structured knowledge resources (databases, scientific
literature, etc) to generate explanations and hypotheses.

You will also develop new methods to address the unique research needs in
our environment. You will have the resources of the NIH HPC Cluster at your
disposal as well as additional help from the AWS cloud. All tools and code
will be open source and freely distributed.

The MLC will provide education and outreach to further the use of machine
learning across the NIMH IRP. You will be involved in designing and
teaching courses on basic methods and data analysis. You will help run data
analysis clinics and consults to help identify research needs, and mentor
junior researchers in joint projects.

Who you are:

We are seeking candidates with practical machine learning experience, e.g.
training of classification and regression models, statistical testing of
results, interpretation and visualization of key aspects of models. Beyond
this, we would like knowledge of optimization and statistics, insofar as
they bear on machine learning method development.

Experience working with neuroimaging data (MRI, as well as MEG/EEG) will be
considered very favorably, in particular the generation of quantitative
measures to use as features (e.g. activation maps, functional and
structural connectivity, scalar maps, cortical structure volumes, etc.).

Finally, you should have demonstrable experience coding in languages
currently used in data-intensive, scientific computing such as Python,
MATLAB or R (and relevant data processing libraries).

How to apply:

Email your resume (your email can serve as a cover letter) to
MLCORE-JOBSEARCH at mail.nih.gov

Questions are welcome. The National Institutes of Health is an equal
opportunity employer.
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