Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health , the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed , Facebook , X and Instagram . Position Summary: 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 Job Responsibilities: 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. Additional Position Specific Responsibilities: -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. Minimum Qualifications: To qualify you must have a -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 workstreams and ability to manage competing priorities, a commitment to collaborative team science, a high level of organization, and effective oral and written communication skills. Preferred Qualifications: 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. 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 institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal . NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.61 - $93,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Requirements

Must-haves

For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed , Facebook , X and Instagram .
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.
-Multimorbidity, vascular, and other modifiable risk factors
-Cognitive aging, brain health, and AD/ADRD biomarkers
-Latent variable analysis and psychometrics
-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
-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.

Nice-to-haves

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.
Qualified candidates must be able to effectively communicate with all levels of the organization.
View Know Your Rights: Workplace discrimination is illegal .
To view the Pay Transparency Notice, please click here

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