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POSITION SUMMARY: We have an exciting opportunity to join our team as a Biostatistician.

  The Ronald O. Perelman Department of Dermatology is embarking on the analysis of Big Data through available insurance and Medicare claims based data as well as EPIC. We are currently looking for an individual with strong programming, data management, and analytical skills to enable cleaning data, working with a team to develop the research questions related to interrogating the database, building tables and statistically analyzing the resulting data sets. The incumbent will work on projects focused on clinical research, health services research, and population health interventions and be part of a dynamic team of physicians, residents and academic professionals.

JOB RESPONSIBILITIES:

• Import and clean raw datasets, merge files, and create analytic datasets for investigators.
• Participate in collaborations with clinical investigators from the Department of Dermatology and elsewhere in/outside the institution as relevant for specific projects.
• Conduct relevant literature reviews to inform cohort selection, variable definitions, and analytic methods.
• Perform basic statistical analyses.
• May independently perform relevant literature reviews.
• Will perform primary data entry into research databases and/or help write methods sections for manuscripts and reports.
• Estimating regression models and conducting analysis, including graphing, testing bivariate associations, missing data imputation, and longitudinal regression modeling.
• Analyzing data quality and integrity; identifying and solving data quality problems; coding and creating new variables; preparing analysis files; producing statistical summaries, charts and tables.
• Merging, cleaning, documenting, and managing datasets utilizing the computing capabilities of NYU High Performance Computing Center

MINIMUM QUALIFICATIONS: To qualify you must have a Masters degree in Biostatistics, Economics, Statistics or related field. Strong statistical computing skills including SAS and programming in Linux, R, SQL. Minimum of 2 years experience in clinical or population health research.

PREFERRED QUALIFICATIONS: Experience working with insurance claims and disease utilization data (e.g. Medicare, hospital discharges, electronic health records, health program costs) is preferred. Experience with large database management; excellent interpersonal, organizational, communication, time management skills and ability to work in a team setting on diverse assignments.

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. To view the Pay Transparency Notice, please click here.

Required Skills Required Experience