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City of Hope

Statistical Programmer - Biostatistician - Remote

Posted a day ago
0-2 years experience
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The position supports biostatistics and data science activities for cancer research, including data cleaning, harmonization, and statistical programming. The role involves generating publication-quality reports and collaborating with multidisciplinary teams to advance research in cancer prevention and treatment.

Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. 

**  This is a Fully Remote Opportunity within the United States. Must be willing to work Pacific Hours **

Position Summary:

The Statistical Programmer position supports biostatistics and data science activities across a diverse portfolio of cancer research studies within the Exercise Oncology Program. Working under the supervision and mentorship of a PhD-level biostatistician and alongside investigators in the Exercise Oncology Program, this position contributes to observational cohort studies, clinical trials, and translational research projects involving clinical, behavioral, wearable-device, and molecular datasets. This full-time position supports data cleaning, harmonization, statistical programming, reproducible research workflows, data visualization, reporting, and preparation of scientific products that advance research in cancer prevention, survivorship, treatment outcomes, and exercise oncology.

As a successful candidate, you will: 

  • Cleans, validates, harmonizes, and manages research datasets from clinical trials, observational studies, and molecular ‘omics data

  • Performs statistical programming, data management, and data visualization using the R statistical programming language

  • Generates publication-quality tables, figures, reports, dashboards, and presentations for manuscripts, abstracts, grant applications, and scientific presentations

  • Creates reproducible data analysis reports using Quarto and R

  • Uses Git/GitHub for version control and to facilitate remote collaboration on projects

  • Assists with statistical analyses, interpretation of research findings, literature reviews, and evidence synthesis activities under appropriate supervision

  • Prepares analytic datasets, data dictionaries, codebooks, workflow documentation, and study documentation to support transparent and reproducible research

  • Supports development and maintenance of internal and open-source R packages, analytical tools, and reusable code resources as needed

  • Support development of models for predicting clinical outcomes of interest

  • Collaborates with investigators, clinicians, research coordinators, data managers, and other multidisciplinary team members to support ongoing and emerging research projects

  • Performs special projects as assigned by management.



Your qualifications should include: 

  • Bachelor's Degree, Master’s Degree preferred. Experience may substitute for minimum education requirements

Minimum Experience:

  • One-year experience in biostatistical consulting and analysis

Preferred Education:

  • Master's degree in Statistics, Biostatistics, Data Science, Epidemiology, Bioinformatics, Computer Science, or a related quantitative discipline

Preferred Experience:

  • Biostatistics or Statistics, Epidemiology, or related fields

Skills/Abilities:

  • Strong knowledge of the R statistical programming language

  • Working knowledge of statistical methods commonly used in clinical, epidemiologic, and biomedical research, including descriptive statistics, bivariate association tests, regression modeling, longitudinal data analysis, survival analysis, and methods for multiple-testing correction

  • Experience preparing analytic datasets, data dictionaries, tables, figures, and technical reports

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE.

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