The Post-Doctoral Fellow will join a large collaborative team studying the development and outcome of children with attention-deficit/hyperactivity disorder (ADHD) in multiple already-available as well as growing data sets at the Center for ADHD Research at Oregon Health & Science University in Portland Oregon. The content focus is on longitudinal data and prediction of clinical outcome, using measures of cognition, emotion, neuropsychological function, personality, clinical symptoms (psychiatric and psychological symptoms), family functioning, and psychophysiology (e.g., respiratory sinus arrhythmia). Opportunity may also be available to examine neuroimaging and genetic data for interested fellows. Portland is an attractive place to live with a high quality of life. It offers ample opportunities for outdoor recreation (ocean and cascades mountains are only about an hour away), beautiful scenery, the nations largest urban forest and one of the largest urban parks, bicycle paths, arts and music and other cultural opportunities.
Analytical methods applied in the study will include longitudinal structural equation modeling (e.g., growth curve models) and growth mixture modeling, as well as opportunity to carry out machine learning prediction models (e.g., random forest, support vector machine, LASSO, others). The Post-Doctoral Researcher on this project will be expected to conduct statistical analyses and ample opportunity will be available either to immediately be lead author on new papers with already-available data or to carry out specialized analyses or both depending on career goals. There will also be an opportunity for advanced training in developmental psychopathology, translational research conceptualization, statistics, machine learning, and information systems. Learning and training opportunities will be developed commensurate with the interests and skills of the candidate. Opportunities for supervised clinical hours to obtain psychology licensure are not required but are available to interested applicants. The position will provide one year of guaranteed funding, with a second year contingent on performance and funding availability. The training faculty include but are not limited to Joel Nigg, Ph.D., Nathan Dieckmann, Ph.D., Xubo Song, Ph.D., Bonnie Nagel, Ph.D., and Michael Mooney, Ph.D.
- Ph.D. in Psychology, Computer Science, Neuroscience, or other relevant field
- Excellent statistical and quantitative skills
- Clear verbal and written communication skills
- Strong writing abilities
- Self-organization, self-starter, ability to meet deadlines and complete work schedulesa
- Ability to work well in a team and in a cross-disciplinary environment
- Familiarity with key statistical packages (e.g., R, Mplus, Stata, and/or SAS)
- Experience with structural equation modeling, longitudinal data analysis, handling categorical and missing data
- Exposure and preferably experience with machine learning methods
- Programming capability in Python and R are all preferable, but applicant does not need to have expertise in all of these areas to be considered for the position
Apply here online. Please be sure to upload a cover letter and CV.
Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.
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