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 Senior Data Analyst.
Background: The New York University School of Medicines Department of Population Health (DPH) is a dynamic environment of excellence, innovation and growth with faculty across a wide range of disciplines including behavioral and social sciences, epidemiology, health services research, evaluation, biostatistics, and medical ethics with a particular focus on health equity. The Health Evaluation and Analytics Lab (HEAL) aims to support the provision of high-quality, person-centered care for individuals with substance use disorders in New York State and works in close collaboration with the New York State Office of Addiction Services and Supports (OASAS) on multiple research and evaluation projects.
Position Summary: We are hiring a Senior Data Analyst to work with large data on research to improve care for substance use disorder treatment services for New Yorkers. The analyst will collaborate with interdisciplinary teams in a world-class research institution to address questions of health and health equity. Using advanced statistical techniques and programming skills, the Senior Data Analyst will conduct analyses with large datasets including Medicaid claims data, administrative data sets and other data sources. The Senior Data Analyst will work alongside multiple faculty members and external partners and independently lead, develop and complete analyses of large datasets for descriptive and inferential studies. These studies can include estimation of program effects, describing characteristics of populations and their healthcare, and tracking trends in mortality and morbidity, and service utilization. The role responsibilities include making decisions and recommendations about techniques, scope, and approaches appropriate to the research project.
Job Responsibilities:
- Masters degree in a quantitative discipline (Biomedical or Clinical Informatics, Epidemiology, Biostatistics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field).
- At least 3 years of experience working in data science, biostatistics, epidemiology or another related discipline.
- Outstanding verbal and written communication skills.
- Strong time-management and prioritization skills; ability to work well under pressure and in a team.
- Experience working with key secondary data sources.
- Skilled in large-scale data wrangling.
- Proficiency in at least one programming language (Python, R, SAS) and SQL and visualization tools. (e.g. Tableau).
Minimum Qualifications:
To qualify you must have a Masters degree in a quantitative discipline (Biomedical or Clinical Informatics, Epidemiology, Biostatistics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of experience in data science.
- Outstanding verbal and written communication skills;
- Strong time-management and prioritization skills; ability to work well under pressure and in a team;
- Experience working with key secondary data sources;
- Skilled in large-scale data wrangling;
- Proficiency in at least one programming language (Python, R, Stata, SQL) and visualization tools (e.g. Tableau)
Preferred Qualifications:
Programming proficiency in Python, R, and SQL with additional experience in SAS. Experience building and maintaining packages in Python is a plus.
Experience managing large datasets.
Experience using version control software, including Github.
Knowledge of causal inference methodologies and experience working with longitudinal, clustered data.
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 $67,771.14 - $100,000.00 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
