Demo

Research Scientist R25-01

Research Foundation for SUNY
Albany, NY Full Time
POSTED ON 2/22/2025
AVAILABLE BEFORE 4/20/2025

  • Work collaboratively with Dr. Paul Morgan to conduct scientific investigations through analyses of a large-scale dataset including those using advanced quantitative methods. (e.g., latent class analysis, structural equation modeling, growth modeling, student fixed effects)
  • Oversee work including two postdoctoral scholars to conduct these analyses on bullying victimization and related developmental phenomena.
  • Lead and assist in writing scientific manuscripts for peer-reviewed journals as well as book chapters, reports, and op-eds.
  • Coordinate data analysis activities with multiple stakeholders including state and federal policymakers and educational personnel.
  • Work closely and collaboratively with Dr. Paul Morgan, other faculty, and other research scientists to complete empirical research and disseminate the resulting findings.
  • Developing research projects that could potentially result in being first author as well as contributions as co-author to the sections of the journal papers and reports.
  • Lead and assist with Institutional Review Board and human subject protocols.
  • If of interest, lead methodological trainings in the lab and to UAlbany faculty on newly developed quantitative methods in psychology, epidemiology, and economics including those allowing for causal inferences and designed to empirically examine intersectionality.
  • The selected candidate will also have opportunities to be affiliated to schools and departments across UAlbany including the College of Integrated Health Sciences.
  • Present analyses and represent the lab at scientific meetings and national conferences.
  • Other duties as assigned.

Job Requirements:


Minimum Qualifications:

  • A completed Ph.D. in public health, public policy, psychology, human development, education, quantitative methods, sociology, economics, or related field from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization and a minimum of 2-3 years' experience in a related field.
  • At least one year of successful experience as a postdoctoral scholar or related experience in leading secondary data projects.
  • Must demonstrate strong organizational and time management skills, excellent oral and written communication skills, and advanced interpersonal and relationship-building skills working in an interdisciplinary team environment.
  • Ability to clean, securely manage, and analyze large and complex datasets as well as to maintain documentation ensuring proper archiving and reproducibility.
  • Ability to work collaboratively and under Dr. Paul Morgan's supervision, leading to the successful interdisciplinary projects.
  • Ability to work independently to conduct rigorous analyses and produce high-quality papers, reports and op-eds including with Dr. Paul Morgan as well as other faculty and research scientists.
  • Ability to successfully mentor and supervise postdoctoral scholars.
  • A high level of professional behavior and initiative.
  • Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community.
  • Applicants must demonstrate an ability to support diversity, equity, access, inclusion, and belonging, relative to their role.

Preferred Qualifications:

  • Established expertise including as demonstrated by completed coursework, methodological trainings, and peer-reviewed publications in using advanced quantitative methods to analyze large-scale and longitudinal datasets.
  • Prior experience in conducting analyses for writing and submitting peer-reviewed journal articles including as a first author.
  • Highly proficient in using statistical software including Stata, MPlus, R, and/or SPSS
  • Prior experience in submitting grant proposals to federal funding agencies or private foundations.
  • At least five peer-reviewed publications as first author (preferably) or as co-author reporting on analyses of large-scale datasets using quantitative methods.
  • One year or more successful experience as a postdoctoral scholar or related type of post-doctoral degree position.
  • Experience working as part of an interdisciplinary research team and ability to coordinate multiple large projects to completion in collaboration with interdisciplinary faculty and research scientists.
  • Knowledge of and commitment to diversity, equity, and inclusion in the workplace.
  • Ability to incorporate feedback and revise initial analyses as needed.

Additional Information:


Salary Range
: $70,000 - $80,000

Federal law and regulations require notice to all prospective employees regarding crimes that have occurred on campus in the current three-year period. Please refer to the following website for the complete Annual Security Report ("Clery Report"): http://police.albany.edu/asr.htm

As an Equal Opportunity/Affirmative Action Employer, The Research Foundation for SUNY will not discriminate in its employment practices due to an applicant's race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, transgender status, age, national origin, marital status, citizenship, physical and mental disability, criminal record, genetic information, predisposition or carrier status, status with respect to receiving public assistance, domestic violence victim status, a disabled, special, recently separated, active duty wartime, campaign badge, Armed Forces service medal veteran, or any other characteristics protected under applicable law.

The Research Foundation for The State University of New York offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, tuition assistance, life insurance and long-term disability insurance. The University at Albany offers a variety of performing arts, world class libraries, and competitive sporting events.

Salary : $70,000 - $80,000

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