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Memorial Sloan Kettering Cancer Center

Assistant Research Biostatistician

Memorial Sloan Kettering Cancer Center

. Develop and maintain application programs within statistical software packages for clinical and research studies .

Posted 10/13/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $83,800 - $134,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical programming and data analysis, utilizing tools such as SAS, R, and Python to develop and maintain applications for clinical research. Proficient in conducting various statistical analyses and effectively communicating findings through reports and presentations.

Highest-signal resume keywords
Statistical Programming SoftwareData ManipulationStatistical MethodsAnalytical SkillsCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ProgrammingData AnalysisSurvival AnalysisLinear ModelingCategorical Data AnalysisData QueryingDataset ManagementAlgorithm TranslationCode TestingStatistical Reporting
Soft Skills
Analytical SkillsProblem-SolvingAttention to DetailOrganizationCommunication
Tools & Technologies
SASRPythonRelational DatabasesStatistical Software
Industry Keywords
Clinical ResearchObservational ResearchQuantitative FieldResearch DatasetsScientific Publications

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop and maintain application programs within statistical software packages for clinical and research studies
  • Perform data manipulation, 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 survival analysis, linear modeling, and categorical data analysis
  • Interpret analytical results and recommend additional analyses
  • 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
  • Participate in project meetings, assess resource requirements, and support ongoing study activities

Requirements

What you’ll need
  • 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
  • Experience working with large datasets and relational databases preferred
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Strong attention to detail and organization