Postdoctoral Researcher

Position Overview

Responsibilities

• Cover conduct ongoing data quality control procedures.
• Contribute to building the redcap data project.
• Serve as unblinded researcher that will organize, manage, and provide food stimuli for laboratory study on a daily basis.
• Coordinate with PI regarding ensuring study rigor, including managing randomization procedures, crossover design features, and maintaining study blind for research staff.
• Assist with trial pre-registration.
• Assist with data preparation for annual review documents and progress reports.
• Supervise and facilitate research coordinator in producing regular study progress reports, including participant tracking and completion.
• Process and manage study data, facilitate preparation and formatting for regular data uploads to central repository.
• Conduct data analysis for projects as warranted.
• Contribute to the preparation and submission of manuscripts for publication.
• Contribute to the development of grants via literature searches, drafting of grant sections/content as requested.
• Prepare posters and oral presentations for national/international conferences.
• Communicate professionally and effectively with internal and external study collaborators, including investigators, sponsors, and monitors.
• Perform varied administrative support duties as required.

Required Qualifications

• PhD in psychology, public health, epidemiology, or other related field by start date or within 6 months of start date.
• Research experience in relevant areas as evidenced by CV and written application.
• Excellent verbal and written communication skills and demonstrated attention to detail as evidenced by application materials and work history.
• Prior experience in coding to process/analyze data using statistical software (e.g., R, SAS) or related software.

Preferred Qualifications

• Coursework and prior training in addiction science, clinical/health or behavioral psychology.
• Research experience in data collection, management, and analysis, and publications in related domain.
• Proficiency in data management and coding using R statistical software or other related software as evidenced by application materials and work history.
• Strong critical thinking skills and ability to investigate and address questions/barriers independently as evidenced by application materials and work history.
• Strong attention to detail and ability to function autonomously in a collaborative multidisciplinary team as evidenced by application materials and work history.
• Experience with flexibility working in a fast-paced environment.
• Strong enthusiasm to learn new skills, concepts, methods, and techniques as evidenced by application materials and work history.

Additional Candidate Instructions

• A cover letter addressing how required and preferred qualifications are met.
• Resume or curriculum vitae.
• Contact information for three (3) professional references.