Full-time Data Scientist Position at Princeton University

Overview – The Department of Psychology at Princeton University is seeking a Statistical Programmer in the Human Diversity lab, under the supervision of Dr. Kristina Olson. The Statistical Programmer will work with our team on a large scale, longitudinal study of transgender youth and several smaller studies on early social cognition.

Responsibilities – The Statistical Programmer will oversee data analysis, data management, and archiving for studies on the development of sex and gender diversity. They will also help with problem-solving study design and data analysis issues in the lab. In addition, the person in this role will organize workshops for the lab group and affiliates on open science, reproducibility, R (especially tidyverse), and longitudinal data analysis. The successful candidate will be involved in preparing data for grant applications and publications, on which the candidate will be able to serve as a collaborator and/or co-author. Opportunities for developing additional statistical and professional skills as well as networking with other Princeton data scientists and programmers will be available. This position is ideal for a candidate interested in using their statistical programming skills in a socially meaningful way. Long-term remote work may be possible.

Required Qualifications:

  • 5+ years of data management and analysis
  • Advanced statistical skills including expertise with longitudinal data analysis (e.g. multilevel modeling) and strategies for dealing with missing data
  • Ability to troubleshoot, optimize, and manage small and large projects with different timelines.
  • Demonstrated history of commitment to open science and reproducible science (e.g. via an active Github or OSF page)
  • Expert-level knowledge of statistical programming, particularly R (tidyverse, ggplot2) and R Markdown
  • Knowledge of survey software, REDCap and Qualtrics
  • Excellent communication and organizational skills
  • Ability to work closely with people with a range of statistical programming knowledge (from undergrads to other experts)
  • Ability to carefully consider conflicting demands of confidentiality of sensitive data and open science

 Preferred Qualifications:

  • Experience with survey software (e.g., Qualtrics), RedCap
  • Ph.D. in psychology
  • Lab experience and/or coursework on gender diversity and/or child development

 

 

If you are interested, please apply here: https://research-princeton.icims.com/jobs/12459/statistical-programmer/job?hub=15

 

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW