Paid Part Time Lecturer in Addiction Research Opportunity

Interested?

Please send your CV and brief statement of interest and/or questions to Jesse Liss: Jesse.Liss@Rutgers.Edu

The Opportunity:

The Rutgers Addiction Research Center (RARC) is seeking an an advanced graduate student (fifth year or more) or a postdoc to deliver two undergraduate addiction research methods courses in the School of Arts & Sciences – New Brunswick Department of Psychology. Each course will be 3 credits, for a total of 6 credits. The first course will begin Spring 2025 and salary is paid per credit with a current rate of $2,685/credit (total for 6 credits = $16,110). Course preparation work would be minimal, and it would be a good opportunity to enhance the teaching section of a CV. Dr. Jesse Liss will be creating the syllabi for the courses and teaching them in parallel at Rutgers-Newark.

The Rutgers Addiction Research Center oversees a new National Institutes on Drug Abuse-funded R25 undergraduate research training program that promotes the advancement of students from underrepresented (UR) groups in the field of addiction research: the Training in Research Undergraduate Experience through the Rutgers Addiction Research Center, the “TRUE RARC” Scholar Program. As part of this program, freshmen students will have the opportunity to take two new classes: Data Science & Addiction Research (DSAR) 1 in the spring semester, and DSAR 2 in the first summer session (May-June). A subset of 10 individuals in the classes will then be matched with research labs for 6-month internships running from July-December. 

Course Descriptions:

Data Science & Addiction Research 1 & 2 are two sequential research methods courses that introduce foundational concepts in data science and addiction research using the Adolescent Brain Cognitive Development (ABCD) study. There are no prerequisites, and the courses are intended for beginners. The addiction research topics span disciplines and approaches, including behavioral genetics, social determinants of health, neuroscience, epidemiology, psychology, and sociology, each conceptually integrated by the interactions of biology and environment. Foundational data science concepts in addiction research contexts include data manipulation, data cleaning, exploratory data analysis, probability basics, distributions of random variables, nuts and bolts of inferential statistics, and critical thinking on p-values, statistical power, and meaningful effect sizes. Upon completing coursework, students will earn a digital badge for LinkedIn, which is recognized among Rutgers’ Graduate Programs and employer networks.