• Statistical Research Associate II

    Job ID
    14388
    Type
    Regular Full-Time
    Company
    Fred Hutchinson Cancer Research Center
    Location
    US-WA-Seattle
    Category
    Biostatistics, Bioinformatics and Computational Biology
  • Overview

    Cures Start Here. At Fred Hutchinson Cancer Research Center (Fred Hutch), home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first and largest cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Fred Hutch is an active partner in the Seattle Cancer Care Alliance (SCCA), which brings together the leading research teams and cancer specialists of Fred Hutch, Seattle Children’s and UW Medicine. Careers Start Here.

    Responsibilities

    We are seeking a full-time (100% FTE) Statistical Research Associate II (SRA) for research projects within the Cancer Prevention Program, Division of Public Health Sciences that use both clinical trials and observational studies to examine a broad range of lifestyle modifications (diet, physical activity, weight management) and complementary/integrative therapies for cancer prevention and control, especially in under-resourced and vulnerable populations. Data management and data analyses will be conducted for several new and ongoing clinical trials and cohort studies.

     

    The SRA will be involved in collaborative, interdisciplinary research to manage data and conduct analyses in clinical trials and observational cohorts of cancer survivors, as well as individuals at high risk of developing cancer. Clinical trials test behavioral and electronic health interventions (e.g., physical activity trackers, apps, and websites) that generate high dimensional data. We are seeking a master’s-level biostatistician or epidemiologist to support our team. The SRA will have an opportunity to work with several collaborators and there will be opportunities to participate in peer-reviewed scientific publications.   

     

    Collaboration and cooperation are essential to functioning within this rapidly growing team that values a positive and interdisciplinary culture.  Additionally, the SRA will work with multidisciplinary research teams and directly with investigators across multiple sites to implement data quality control procedures, assist in determining optimum statistical study designs, lead in the data management and perform data analyses, and support the development and implementation of statistical methods relevant for clinical trial and observational cohort studies.  The SRA will derive diet, physical activity, quality of life, and biomarker data from complex datasets. Tasks will also include conducting quality control analyses.  The SRA will prepare written summaries, data completion reports, and tables of results, and will document statistical analyses and assist with manuscript preparation.   

    Qualifications

    Minimum qualifications

    • Master’s degree in biostatistics or epidemiology
    • Demonstrated ability and skills in working with R and SAS statistical programming
    • Proficiency in parallel computing with good programming skills
    • Flexible and comfortable working in a fast-paced environment with shifting priorities
    • Strong written and verbal communication skills
    • Strong organization skills with a proven ability to manage multiple projects at once.
    • Demonstrated ability to work well within interdisciplinary teams and collaborations

     

    Preferred qualifications

    • Experience working with clinical trials and observational studies
    • Statistical and computational methods for the analysis of complex, high-dimensional data
    • An interest in transforming health care delivery and policy
    • Experience on large scale clinical trials
    • Track record of peer-reviewed publications and presentations

     

    Required characteristics

    • Team-oriented
    • Outstanding interpersonal skills
    • Positive attitude and sense of humor
    • Comfortable working in a fast-paced and complex environment
    • Flexibility and adaptability
    • Highest standards of professionalism
    • Creative problem solving
    • Punctuality
    • Service-orientation
    • Passion for the mission of the organization 

    Our Commitment to Diversity

    We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.

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