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 to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed,Facebook, Twitter and Instagram.
Position Summary: We have an exciting opportunity to join our team as a Associate Research Scientist with strong quantitative skills.
We seek a person with a Ph.D. and strong quantitative background in a health services research field, including epidemiology, economics, biostatistics, or a related quantitative degree to join our research team as an associate research scientist. The New York University Grossman School of Medicines Health Evaluation and Analytics Lab (HEAL) has a portfolio of NIDA-funded research projects employing advanced statistical analyses of administrative data and Medicaid claims to conduct research on improvement of addictions treatment. In collaboration with the principal investigators (PIs), the associate research scientist will be responsible for the design of analyses, execution of analyses, and the supervision of the analytical work of junior analysts.
Job Responsibilities:
Initiates, interprets, organizes, executes, and coordinates research data analyses.
Establishes standard procedures for development of analytical files and conduct of analyses
Delegates analytical work to junior analysts.
Ensures quality of all analytical work produced.
Implements causal inference methodologies, difference-in-difference models, generalized linear models, multilevel models, machine learning models, and other analytical methods.
Maintains knowledge of best-practices in statistical modeling.
Interprets and communicates research findings to PIs and other stakeholders.
Minimum Qualifications: To qualify you must have a MS degree with at least 1 year of experience and strong quantitative skills.
Preferred Qualifications: Ph.D. with two or more years of professional experience. Experience working with large, real-world datasets. Programming proficiency in Python, R, SQL, SAS, and Markdown and using version control software (i.e., GitHub). Knowledge and experience implementing causal inference methodologies, difference-in-difference models, generalized linear models, multilevel models, machine learning models, and other analytical methods. Experience collaborating on academic manuscripts and presentations. Strong time-management and prioritization skills; ability to work well under pressure and in a team. Outstanding verbal and written communication skills. Capacity to provide supervision for more junior team members Past experience working with health care data. This includes insurance claims data, administrative data, electronic health record data, or other registry databases. Relatedly, knowledge of commonly used coding systems (e.g., ICD-10, CPT, HCPCS, NDC). Experience supervising data analysts.
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 $50,050.00 – $77,000.00 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
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 to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
