The Oathes Lab in the Center for the Neuromodulation in Depression and Stress (CNDS) at the University of Pennsylvania is seeking a full time Neuroimaging Data Scientist to join our team. This position offers a highly interdisciplinary research experience, combining approaches from network science, cognitive neuroscience, and statistics with neuroimaging to better understand the neurobiology of psychiatric conditions and to develop personalized brain-based interventions. The data scientist will work with principle investigators, post-docs, graduate students, and technical staff to build and maintain data informatics and processing platforms to support ongoing multidisciplinary studies. There will also be opportunities to participate in major methodological and analytic developments in the fusion of multimodal functional and structural neuroimaging with transcranial magnetic stimulation (TMS), including processing and analysis frameworks for interleaved TMS-fMRI data.
The lab is affiliated with the neuroscience graduate program and we have numerous collaborations across medical disciplines, biostatistics, psychology and engineering. The TMS/fMRI equipment is highly customized and state of the art. Our offices are housed in a beautiful historical renovated space in the center of campus.
Philadelphia is a large city on East Coast of the United States about 2 hours from New York City or Washington D.C.; both can be easily accessed by train. The University of Pennsylvania is one of the oldest and most prestigious universities in the U.S.
Qualifications: Masters degree or PhD in neuroscience or engineering, such as Biomedical Engineering, Cognitive Neuroscience, Computer Science, Statistics or a related field is required. PhD preferred. Strong computing and programming skills are essential including working knowledge of Linux operating systems and proficiency with at least one scripting language (shell/python). Familiarity with popular neuroimaging software is strongly preferred, including FSL, ANTs, AFNI, FreeSurfer, Connectome Workbench, and SPM. Strong quantitative and statistical background as well as familiarity with at least one technical computing language such as R, Python or Matlab also strongly preferred. This candidate should possess excellent troubleshooting and problem-solving skills and have the ability to prioritize and work with deadlines.
Please send a cover letter explaining your interests, c.v. and copies of two relevant publications (or preprints) to: oathes AT upenn . EDU . Funding is already in place for this position but will remain open until a suitable applicant is selected.