Title: Scientific Programmer, Decision Neuroscience and Psychopathology Lab, University of

Pittsburgh

PIs: Timothy Allen & Alex Dombrovski

www.dnpl.pitt.edu

 

Description / Summary of the Position

We are seeking a full-time scientific programmer to start in the Fall of 2023 (start date is flexible). The programmer will be responsible for establishing and maintaining preprocessing and analysis pipelines for several NIH-funded studies focusing on how learning and decision-making processes relate to structural models of psychopathology. In addition to establishing and maintaining analytic infrastructure, the candidate will be responsible for overseeing the

integration of psychophysiological, neuroimaging, and RedCAP data streams, and will be involved in the development and piloting of novel experimental paradigms. The candidate will also play a key role in training research staff in using programmatic tools. The programmer will also have opportunities to facilitate experimental paradigm implementation, data collection, data analysis, manuscript preparation, and grant submissions. This position will be jointly supervised by Drs. Allen and Dombrovski, and the programmer will work closely with our existing data team. The position will also involve collaboration with other study team members including clinicians, study coordinators and research assistants, and post-doctoral scholars.

 

Education and Desired Skills

M.A. in Computer Science, Neuroscience, Computational Biology, Complex Systems, Applied Math, or Psychology with a strong quantitative and programmatic emphasis, or related field by time of appointment. Alternatively, a BA/BS in one these fields plus 3+ years of professional experience in a programming role.

 

The following skills and/or knowledge are preferred: strong programming skills, knowledge of shell scripting, Python, R, and MATLAB, experience with neuroimaging research methods and software including FSL, AFNI, and/or SPM, knowledge of statistical analyses, and experience with psychophysiological data.

 

To Apply

This is a 1-year position that can be extended to subsequent years based on the candidate’s interest level and productivity. To apply, please submit a CV, cover letter that describes the candidate’s interest in the lab and this position, and a code sample to Christopher Damerau at damerau@pitt.edu.

 

Review of applications will begin immediately and will continue until the positions have been filled. We are an equal opportunity employer and all qualified participants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristics protected by law.

 

Please visit the lab website at www.dnpl.pitt.edu for additional information.