Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Susquehanna International Group
- Duke University
- Carnegie Mellon University
- New York University
- University of Minnesota
- University of Pennsylvania
- University of Pittsburgh
- Brookhaven National Laboratory
- Harvard University
- National Renewable Energy Laboratory NREL
- Nature Careers
- Rice University
- The University of Iowa
- University of Alabama at Birmingham
- University of Alaska
- University of Florida
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Oregon
- University of Texas at El Paso
- University of Utah
- Virginia Tech
- Yeshiva University
- 13 more »
- « less
-
Field
-
and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
-
information at BNL | Benefits Program Position Description The AI Department within Brookhaven National Laboratory's Computing and Data Sciences Directorate invites exceptional candidates to apply
-
collaboratively with the existing biostatistical team on data management, quality control, and reproducible analytic pipelines for large and complex datasets, including clinical and laboratory data. Contribute
-
analysis, power analysis, mixture models, causal inference, psychometrics, sequential and time series analysis, and/or analyzing large datasets are plusses. Strong data management skills are required
-
, survey design, and experimental techniques Ability to collect, organize, and manage large datasets efficiently while maintaining data integrity and confidentiality Excellent written and verbal
-
uses observational field data, experimental data, and field experiments. Salary is $68,000 annually, plus benefits. Expected start date is mid-June 2026. Visa sponsorship is available. For examples
-
, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
-
have a strong quantitative background in aging, disability and health systems research including experience analyzing complex datasets such as Medicare/Medicaid claims data. The ideal candidate will have
-
data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
-
, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically