Data Analyst

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, diversity, 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 diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us onLinkedIn,Glassdoor,Indeed,Facebook,TwitterandInstagram.

Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.

The Data Analyst will work closely with Optimal Aging Institute (https://med.nyu.edu/departments-institutes/optimal-aging/) faculty on high-impact research for the prevention and treatment of age-related disease. The Optimal Aging Institute is a growing interdisciplinary venture which connects epidemiologists, clinical researchers, and other scientists to address major challenges related to the aging of the US and global population and associated growth in chronic disease. This Data Analyst will interface with a growing team in the Institute as well as closely affiliated units across NYU Grossman School of Medicine. Large studies include: The Atherosclerosis Risk in Communities (ARIC) cohort with over 35 years of detailed follow-up on >100,000 hospitalizations, detailed interviews, physiologic data, wearable devices, multi-omics (genomics, proteomics and metabolomics) and imaging (echocardiograms, brain MRI and PET scans); ACHIEVE clinical trial of hearing correction and cognitive decline, including ancillary studies of brain imaging and quantification of hearing aid use and accelerometry; the Chronic Kidney Disease Prognosis Consortium (CKD-PC) which includes over 100 cohorts with data from over 30 million participants including EMR systems such as Optum; TRUVETA; and, NYU Langone Health. Work will focus around specific funded projects with goals of producing high-impact publications.

Job Responsibilities:

The Data Analyst will work on study design, protocol development, big data manipulation, statistical analysis, data interpretation, and manuscript preparation. The successful candidate will:

• Be responsible for developing, maintaining and monitoring new/existing databases, 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 data managers, principal investigators, and biostatisticians;
• Program statistical analyses, summarize results, conduct simulations, perform biostatistical literature reviews, and assist principal investigators in their everyday work;
• Consult with and train researchers in the use of R, STATA, SAS or other statistical software as well as statistical methodology;
• Write statistical reports for clinical studies and manuscripts;
• Participate in regular seminars and meetings;
• Collaborate with faculty members and trainees in epidemiology, biostatistics and medicine on study design and statistical plans for grants and pilot studies.

Minimum Qualifications:
To qualify you must have a Bachelor's degree in statistics, biostatistics, data science, computer science or related quantitative area and 1-5 years of experience, or equivalent. Qualified candidates must demonstrate proficiency in statistical methods for clinical trials, longitudinal and multivariate data, survival data analysis, weighted analyses, and 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.

Preferred Qualifications:
The ideal candidate for this position will have outstanding quantitative skills and a strong interest in collaborative epidemiologic and biostatistical research. Candidates should have strong motivation and dependability, the ability to manage multiple projects simultaneously, a commitment to collaborative team science, a high level of organization, and effective oral and written communication skills.

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.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information.

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 $64,350.00 - $72,800.00 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