The Herting Neuroimaging Laboratory within the Department of Preventive Medicine is in search of a biostatistician with expertise in multi-level modeling of both continuous and categorical outcomes over time (i.e. longitudinal), large datasets (epidemiology and/or big data experience), and/or other advanced analytic methods. The position involves contribution to dataset management, analyses, and interpretation of how environmental risk factors, including air pollution, and individual differences relate to brain development, cognition, and emotion across adolescence using both cross-sectional and longitudinal data from a nationwide sample via the Adolescent Brain Cognitive Development (ABCD) study (N=11,873).
Requirements â MS in statistics, epidemiology, or related field â Strong computational background â Skilled in coding and statistical analyses using R. Statistical knowledge of linear mixed effects (LME) and general additive modeling (GAM) highly desired as well as advanced modeling techniques for large, longitudinal datasets.
Minimum Education: Master's degree, Combined experience/education as substitute for minimum education Minimum Experience: 3 years Minimum Field of Expertise: Degree in statistics, biostatistics, or a closely related field. Experience in Biostatistics, Statistics, Biometry or related field. Experience in statistical programming using standard statistical packages such as SAS, R, or STATA. Working knowledge of regulatory Data Standards (such as CDISC/ADaM). Knowledge of clinical research regulatory requirements [i.e., Good Clinical Practice (ICH / GCP), FDA / CFR]. Ability to interact productively as part of a research team. Ability to present ideas clearly and effectively, both orally and in writing.
Internal Number: REQ20091277
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