Connectionists: Staff Scientist/Engineer Position at NIMH (Bethesda, MD)

[Dave Jangraw]

HIRING: Staff Scientist/Engineer
<https://github.com/djangraw/hiring/tree/master/Staff#who-we-are>Who we are:

Drs. Daniel Pine
<https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas/clinics-and-labs/edb/sdan/index.shtml>
 and David Jangraw <https://davidjangraw.wordpress.com/> are seeking
applicants for a Scientist/Engineer position that would program and
maintain experimental tasks and hardware for the study of pediatric mental
illnesses in the Emotion and Development Branch
<https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas/clinics-and-labs/edb/index.shtml>.
Our aims are to better understand the causes and mechanisms of certain
psychiatric disorders, improve their definition and classification, and
ensure the best treatment can be offered to psychiatric patients. We do
this by identifying neuroscience-based phenotypes that map onto clinical
phenotypes, and which can be targeted with novel treatments.
<https://github.com/djangraw/hiring/tree/master/Staff#what-you-will-do>What
you will do:

The candidate will help the lab apply cutting-edge data collection methods
to research on anxiety and mood disorders in young people. They will work
closely with post-doctoral fellows to develop new tasks in PsychoPy (some
existing tasks are written in E-Prime). The candidate will discuss the
post-doc's plans, advise them on technical aspects of the task, and write
the task code. Many tasks must collect behavioral data and synchronize it
with physiology and brain imaging data. They will also write and maintain
pre-processing and/or analysis pipelines for data from these tasks.

In addition, the candidate will install and maintain software and hardware
required for data collection, including EyeLink eye trackers and Biopac
physiology monitors. The candidate will work closely with the NIMH's
functional magnetic resonance imaging (fMRI) core when dealing with
specialized hardware for use during brain scans. A motivated candidate
could also advance the lab's new techniques, including wearable heart
monitors and eye trackers, remote data collection with Amazon Mechanical
Turk, Affectiva facial expression analysis, and iPhone app development.

This is an extremely collaborative position that requires a blend of
technical expertise and skilled communication. The candidate will assist
about a dozen post-docs in 3 different research groups, balancing multiple
projects at any given time. They must work with the post-docs and their
principal investigators to establish priorities, timelines, and
expectations. They must be comfortable working with team members who have
different levels of technical experience.
<https://github.com/djangraw/hiring/tree/master/Staff#who-you-are>Who you
are:

Candidates with a strong programming or engineering background who are
interested in psychology and neuroscience are encouraged to apply.
Requirements for this position include:

   - Bachelor's degree or (preferably) MS or PhD in computer science,
   engineering, neuroscience, or a related field
   - ≥3 years of programming experience in Python (preferably) or in
   R/Matlab
   - Strong organization skills and an ability to balance multiple projects
   - Excellent interpersonal and written (English) communication skills

Desirable experience includes:

   - Research experience in psychology or neuroscience
   - Experience with PsychoPy or other experimental design software
   - Experience with eye tracking, physiology, or fMRI hardware
   - Knowledge of software for processing neuroimaging data

<https://github.com/djangraw/hiring/tree/master/Staff#how-to-apply>How to
apply:

The successful candidate will work jointly with Drs. Daniel Pine and David
Jangraw, as well as other staff and fellows in the Emotion and Development
Branch. Please write to them (pined at mail.nih.gov, david.jangraw at nih.gov)
with your CV, using the email as the cover letter. Other enquiries are also
very welcome. The National Institutes of Health is an equal opportunity
employer.
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