Job Information
NYU Grossman School of Medicine Data Analyst in New York, New York
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. We have an exciting opportunity to join our team as a Data Analyst.
In this role, the successful candidate will work in the Department of Population Health, to oversee and support mathematical modelling research focused on comparative effectiveness and decision science to address a variety of topical areas including HIV, HCV, and opioid use. This is a dynamic position involving coordinating active studies, implementing new projects, and developing new research proposals. A successful applicant will be able to work independently with diverse colleagues and staff at all levels, and comfortable in the academic medical center environment.
Job Responsibilities:
Job Responsibilities:
- Collaborate with the PI and mathematical modelling team to support model development
- Perform literature reviews and data synthesis in support of modeling aims
- Elicit model data estimates through meetings with external partners and content experts
- Assist in model development, including evaluation of model logic through creating schematics
- Evaluate model assumptions and their interplay in model flow
- Review model C++ code to cross-check consistency
- Conduct and interpret statistical analyses for manuscripts, abstracts and progress reports
- Plan and facilitate regular data checking and quality assurance
- Update and maintain study databases, assist with data analysis
- Maintain existing data collection and analysis methods in support of research aims
- Play an active role in dissemination of findings, including preparation of manuscripts and presentations
- Organize and maintain research records
- Attend and facilitate stakeholder workshops and meetings
- Work with the PI to develop and submit new grant proposals
- Prepare standard progress reports for research sponsors
- Assist PI with management of study regulatory tasks, such as preparation of materials for Institutional Review Board and data safety monitoring
Minimum Qualifications:
To qualify you must have a Masters Degree in Public Health, Biostatistics, Epidemiology, or a related quantitative field and 2 years of relevant work experience.
Proficient in at least one programming language (i.e. SAS, R, or Python).
Experience using data visualization and/or mapping software.
Keen attention to detail and good documentation habits.
Strong quantitative aptitude, desire to learn new skills, and ability to interpret complex analytic information.
Ability to work within a team environment as well as independently
Preferred Qualifications:
Comfort with R, and/or C++; Stata, or SAS. Ability to select and apply appropriate statistical methods for collecting and summarizing data. Experience with literature review and data synthesis. Topic familiarity with HIV, HCV, and/or opioid use disorder and its treatment.
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.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 $58,930.99 - $63,700.00 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 Langone Medical Center 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.
Minimum Salary: 58930.99 Maximum Salary: 63700.00 Salary Unit: Yearly