NYU School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU 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 School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us on Facebook, Twitter and Instagram.

Position Summary:

We have an exciting opportunity to join our team as an Assistant Research Scientist.

In this role, the successful candidate is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the EPPIC NET grant.

Job Responsibilities:

  • Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.
  • Formulates and conducts research on problems of considerable scope and complexity.
  • Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
  • Makes decisions and recommendations that have a major impact on extensive scientific research activities.
  • Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.
  • Ensures timely and accurate completion of research projects.
  • May develop protocol for the collection and quality of research data.
  • Develops research techniques and methodologies.
  • Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.
  • Is a resource/ author/ co-author for reports and presentations.
  • May coordinate the activity and experimental design between various scientific staff, and collaborators. Identifies and resolves technical problems.

Minimum Qualifications:

  • To qualify you must have a MS degree in a related discipline and 0-1 year of experience.

Preferred Qualifications:

  • Candidates must possess a masters degree in statistics, biostatistics, or related quantitative area.
  • Qualified candidates must demonstrate proficiency in statistical methods for clinical trials, longitudinal and multivariate data, survival data analysis, and high-dimensional data analysis.
  • Strong computational skills (i.e., proficiency in SAS, R, and/or Stata) are required.
  • Candidates should have strong motivation and dependability, the ability to manage multiple projects simultaneously, a commitment to team science, and effective oral and written communication skills.

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU 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 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 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.

Position Summary:


Responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the EPPIC NET grant.

Minimum Qualifications:

  • MS degree in a related discipline and 0-1 year of experience.

Preferred Qualifications:

  • Candidates must possess a masters degree in statistics, biostatistics, or related quantitative area.
  • Qualified candidates must demonstrate proficiency in statistical methods for clinical trials, longitudinal and multivariate data, survival data analysis, and high-dimensional data analysis.
  • Strong computational skills (i.e., proficiency in SAS, R, and/or Stata) are required.
  • Candidates should have strong motivation and dependability, the ability to manage multiple projects simultaneously, a commitment to team science, and effective oral and written communication skills.



* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.


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