Sort by
Refine Your Search
-
related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
-
interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy
-
, cross-national comparative analysis of real-world family structures, care utilization patterns, and well-being using multiple nationally-representative aging cohorts (e.g. Health and Retirement Study
-
in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
-
Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
-
. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
-
, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
-
with our co-PI at UCLA. Responsibilities include study design, supervising and leading data collection, coding, and analysis, and writing of manuscripts for publication, as well as grant preparation
-
, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
-
/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis