Quantitative Research Scientist
The Brain Injury Research Center (BIRC) at Mount Sinai is currently recruiting a quantitative research scientist to play a central role in federally funded studies that use large-scale data resources (sample sizes ranging from 4,000 - 30,000 participants) to investigate associations of TBI with Alzheimer's Disease and Related Dementias (AD/ADRDs), late life health, and functional outcomes. Studies investigating long-term effects of TBI on disease comorbidity, cognition, and other outcomes of interest are also welcome, as are individuals with interest in life course epidemiology and social determinants of health. The quantitative scientist would be a key collaborator on a multidisciplinary research team, and would be expected to initiate independent research using a large databases under the supervision of a mentorship team curated to facilitate attainment of individual career development goals. The ideal candidate will have
a strong quantitative experience and training in biostatistics, epidemiology, or related fields (i.e., public health). Interest in advanced statistics and psychometric methods, including data reduction methodology, causal inference or life course epidemiology, is a strength, as the scientist will be invited to creatively apply novel methods to existing data to better understand mechanisms and outcomes following brain injury.
The Brain Injury Research Center leads national rankings in NIH and federal funding, and is renowned for the scope, quality, and impact of its research. Research opportunities for research scientists/fellows include:
- Longitudinal investigation of long-term trajectories of clinical functioning over time among brain injury survivors enrolled in prospective studies
- Examination of social determinants of health in post-TBI outcomes using large-scale databases
- Use of individual patient data meta analysis (IPDMA) and related methods to investigate late life health across 4-5 longitudinal studies of cognitive aging.
- Use of data reduction methods, factor analysis, LASSO and machine learning methods to explore phenotypes of post-traumatic neurodegeneration.
- Measurement development and data harmonization using advanced psychometric methods
- Participation in grant writing, including pilot grants and career development awards
All applicants should have completed doctoral training or equivalent (including MPH) in a quantitative (e.g., biostatistics, epidemiology, public health. Research scientists will collaborate with a multidisciplinary mentorship team, participate in collaborative and independent research, and employ advanced quantitative research methods.
Salary will be commensurate with experience; benefits include health, dental and vision insurances, paid time- off, and conference time. Applicants should have previous research experience, strong quantitative training, and aspirations for a research career. Individuals from diverse backgrounds and under-represented communities are strongly encouraged to apply.