Senior Data Analyst; onsite in Manhattan

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We have an exciting opportunity to join our team as a Senior Data Analyst. We have an exciting opportunity to join our team within the Optimal Aging Institute at NYU Langone Health as a Senior Data Analyst.

The Senior Data Analyst will work closely with Dr. Xiaqing Jiang, an Assistant Professor in the Optimal Aging Institute, on high-impact epidemiologic research on Alzheimer disease and Alzheimer disease-related dementias (AD/ADRD), cognitive aging, and brain health. Our mission is to improve life course brain health through a better understanding of modifiable risk factors in the aging population. We are seeking a highly skilled individual to apply advanced epidemiologic and statistical methods across an active portfolio of research projects using multiple, large longitudinal cohort studies at the intersection of the following areas:

• Multimorbidity, vascular, and other modifiable risk factors
• Cognitive aging, brain health, and AD/ADRD biomarkers
• Latent variable analysis and psychometrics

The Senior Data Analyst will work on study design, protocol development, data preparation, statistical analysis, data interpretation, conference presentations, and manuscript preparation. The ideal candidate will demonstrate strong methodological expertise and:

• Develop and maintain new/existing study data, resolving database issues that may be complex, and optimizing performance for data extraction and analyses;
• Develop, communicate and carry out procedures designed to facilitate data analyses and interpretation;
• Engage in data checking, summary, and manipulation in consultation with principal investigators and collaborators;
• Program statistical analyses, summarize results, conduct simulations, perform biostatistical literature reviews, and support the day-to-day work of the research team;
• Consult with and train team members in the use of R, SAS, Stata, or other statistical software (e.g., Mplus) as well as statistical methodology;
• Write statistical reports for clinical studies and manuscripts;
• Participate in and present at regular seminars and meetings, as well as internal and external conferences;
• Collaborate with faculty members and trainees in epidemiology, biostatistics, and medicine on study design and statistical plans for grants and pilot studies.

• Contribute to the preparation of manuscripts, conference presentations, grant proposals, and technical reports, including drafting methods and results sections and developing data visualizations.
• Ensure reproducibility and transparency in analytic workflows through version control, thorough documentation, and code review.

• To qualify you must have a Master's degree in a relevant field such as public health, epidemiology, biostatistics, data science, or a related discipline.
• At least 2 years of relevant experience conducting data analysis in a healthcare, public health, or policy research setting.
• Advanced proficiency in statistical methods for clinical trials, longitudinal and multivariate data, survival data analysis, weighted analyses, and/or high-dimensional data analysis. Strong computational skills (i.e. proficiency in SQL, SAS, R, and/or Stata, or other, and the ability to learn new languages and systems rapidly) are required.
• Candidates should have strong motivation and dependability, the ability to manage multiple analytic work streams and ability to manage competing priorities, a commitment to collaborative team science, a high level of organization, and effective oral and written communication skills.

• Prior experience with multi-cohort analyses, data pooling, cognitive harmonization, and machine learning is not required but is highly desirable.
• Prior involvement in multidisciplinary academic research teams and contribution to grant-funded research projects and publications.
• Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an…