Assistant Research Biostatistician, Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY

Assistant Research Biostatistician, Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY

Posting Date: 01/11/2019

Job Information/Description:

We are seeking an Assistant Research Biostatistician to join our growing team of statistical analysts within the Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center. In this role, you will support the PhD and senior biostatisticians in collaborations with biomedical investigators and other research activities. The team provides an unusually rich opportunity for collegial interaction, and an exceptional infrastructure for behavioral and methodological research. Specialized research areas include health-related quality of life, adaptation to cancer survivorship, psychological interventions for cancer patients and their families, neuro-cognitive sequelae of cancer treatment, palliative care, treatment decision-making and adherence, cancer screening, provider-patient communication, health disparities, tobacco cessation and other health behavior change interventions.

You will:
Collaborate with colleagues on a variety of population-based, behavioral science, psychiatric, methodological, and community-based research projects related to cancer prevention and control research.
Participate in planning for grants and proposals, and to effectively communicate scientific ideas, methods, and results.
Build and maintain data files, analyze and summarize data, and communicate results from clinical or statistical research projects

You need:
A Master’s degree in Applied Statistics, Measurement & Evaluation, Biostatistics, Quantitative Psychology, Public Health, Psychometrics or other behavioral/social sciences, indicative of a strong quantitative foundation.
1 year of full-time experience in data analysis for research, preferably in a statistical consulting role and with health disparities
Broad knowledge in one or more applied statistical methods commonly used in behavioral sciences, including multiple regression, ANOVA, hierarchical linear modeling, non-parametric techniques, missing data imputation, and statistical power analysis.

Proficiency in popular statistical computer packages such as SAS, SPSS, and/or Stata (required).

Proficiency in programming the R statistical language is desirable. Familiarity with psychometric techniques is desirable, such as structural equation modeling, item analysis and scale development (factor analysis, item response theory).
A record of publications and successful collaborations on extramural research grant proposals is a plus.

You Are:
Adept at building partnerships and working collaboratively with others to meet shared objectives and goals.
Adept at learning quickly, applying insights from past efforts to new situations.
Able to hold yourself and others accountable in order to achieve goals and live up to commitments.
Passionate about statistics and analysis
An effective communicator, capable of determining how best to reach different audiences and executing communications based on that understanding.

Contact Information:

Interested applicants please apply online at

Application Link: