Assistant Research Biostatistician

Memorial Sloan Kettering Cancer Center•New York, NY

About The Position

Memorial Sloan Kettering Cancer Center (MSK) is seeking an Assistant Research Biostatistician to support clinical and statistical research through programming, data management, analysis, and collaboration. The role works closely with investigators, clinicians, and biostatisticians to generate insights that advance scientific discovery and improve patient outcomes. The position develops and maintains application programs in statistical software packages for clinical and research studies. It manipulates data, creates variables, programs standard and non-standard statistical analyses, and translates statistical algorithms into accurate, reproducible programs. The role also tests, debugs, and maintains documented code; creates and maintains research datasets and data files; and queries clinical research databases and other sources. The Assistant Research Biostatistician conducts analyses such as survival analysis, linear modeling, and categorical data analysis; interprets results and recommends further analyses; and develops tables, figures, charts, and reports. The role contributes to scientific publications, presentations, and grant applications, and supports research projects through collaboration, meetings, resource assessment, and ongoing study activities.

Requirements

Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
Experience with statistical programming software such as SAS, R, Python, or similar analytical tools.
Knowledge of statistical methods commonly used in clinical and observational research.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Strong attention to detail and organization.

Nice To Haves

Experience working with large datasets and relational databases.

Responsibilities

Develop and maintain application programs in statistical software packages for clinical and research studies.
Manipulate data, create new variables, and program standard and non-standard statistical analyses.
Translate statistical algorithms into accurate, reproducible programs.
Test, debug, and maintain well-documented code.
Create, manage, and maintain research datasets and data files.
Design and execute data queries from clinical research databases and other data sources.
Conduct statistical analyses, including survival analysis, linear modeling, and categorical data analysis.
Interpret analytical results and recommend additional analyses as needed.
Develop tables, figures, charts, and reports to communicate findings.
Contribute to scientific publications, presentations, and grant applications.
Collaborate with investigators, clinical teams, and PhD statisticians on research projects.
Participate in project meetings, assess resource requirements, and support ongoing study activities.