• Statistical Programmer, Population Science

    Location US-MA-Boston
    Job Posted Date 1 month ago(9/16/2019 9:37 AM)
    Job ID
    2019-16955
    Category
    IT/Health IT/Informatics
    Type
    full time
    Grade
    23
  • Overview

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

    The Division of Population Science’s Center for Outcomes and Policy Research at Dana-Farber Cancer Institute is seeking a Statistical Programmer to work collaboratively with medical researchers and statisticians within our division. Researchers in the Division of Population Science’s Center for Outcomes and Policy Research aim to enhance the outcomes of interventions to prevent and treat cancer from both efficacy and cost-effectiveness perspectives. Investigations focus on optimizing the patient experience by ensuring that clinical and societal resources from interventions to services are utilized in the best possible way. By identifying determinants of the quality of care patients receive, investigators can work toward eliminating barriers to optimal care and translate their findings and programs on a large scale. Qualified candidates will have formal training in statistics or biostatistics and strong statistical computing skills.

    Responsibilities

    Statisticians collaborate with scientific investigators and other statisticians in the design and analysis of clinical trials, basic translational studies, observational data from surveys, medical records, or administrative data, data from the study of genetic markers in human populations or animal models of cancer, experiments on the development of new laboratory assays and data from population-based studies. They are experts in the technical aspects of statistical theory and practice required for their work and highly trained in statistical computing. Experienced statisticians are expected to work independently and mentor junior statisticians.

     

    • Work with multiple investigators on research projects from the early stages of study design through the later stages of manuscript preparation and submission to academic journals.
    • Use standard statistical software (SAS, R, Stata, etc.) for data cleaning, derivation of analysis data, and perform statistical analysis.
    • Summarizes details of the data and analysis results using tables/figures with narratives.
    • Draft the statistical methods section of a manuscript and assist in writing the results section. The statistical programmer will also assist investigators in the preparation of research grants by conducting data analysis to produce preliminary results, performing power calculations, and drafting sections related to statistical analysis in the grant.
    • Responsible for managing and organizing data files, program analysis codes, output files, analysis reports of the assigned projects so that any other statistical programmers in this group can quickly reproduce the results when they need. It is expected to demonstrate a high degree of independence in these activities described above. Consultation with a PhD statistician in this group is always available.

    Qualifications

    • MA/MS in Statistics, Biostatistics or other relevant field is required
    • 2+ years of full-time relevant work experience is preferred, but candidates with less or more experience will be considered; job title will be commensurate with experience.
    • A high proficiency in statistical computing (SAS, Stata, or R) is required; SAS experience is strongly preferred, as a portion of computing for some projects must be done in SAS
    • Candidate must have excellent written and verbal communication skills and work well as part of a collaborative research team.
    • Interest or prior coursework/experience in natural language processing (NLP), unstructured data, Python, Java script, server maintenance, or cloud computing knowledge is a plus.

    Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

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