Description
In the Anticipation, Cognition and Emotion (ACE) lab, we use behavioral and multi-modal neuroimaging methods (MRI, fMRI, DTI, NIRS) to understand why even sub-threshold symptoms of depression, mania and anxiety often impair cognitive and overall psychosocial functioning in affected individuals.
We believe that people activate important motivational, cognitive and emotional states during preparation for or anticipation of task performance. Individuals with mood disorders are biased in their anticipation of future positive and negative events. Our research examines the contribution of anticipation-related processes to the mood symptoms – behavior – brain relationships.
More information can be found at https://www.ace.pitt.edu.
The Statistician will be analyzing clinical, behavioral and neuroimaging data, helping with manuscripts and grant preparation and submission. The ideal candidate has hands-on experience with programming in R, Matlab, Bash, etc. and has knowledge of multivariate statistics. Experience working with human neuroimaging data (MRI, fMRI, DWI, fNIRS) is a plus.
This position is grant funded.
Responsibilities:
- Design and carry out statistical analysis.
- Collaborate closely with investigators and other team members as needed to complete publications etc.
- Document analyses and constructs used in analysis.
- Participate in the preparation of manuscripts and research reports and presentations from data generated by these studies.
- Write new programs for data analysis and conduct new data analysis as needed.
Qualifications
- Master's degree in Statistics, Biostatistics, Psychology, or a related Social Science field is required.
- One year of relevant experience with statistical analyses and packages (e.g. SAS, SPSS, R) and Microsoft Office components (e.g. EXCEL, Word, PowerPoint) preferably in research setting.
- Experience working with human neuroimaging data (MRI, fMRI, DWI, fNIRS) preferred.
Licensure, Certifications, and Clearances:
- Act 34 with renewal
UPMC is an Equal Opportunity Employer/Disability/Veteran
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