Parliament, Office Building, Building, Architecture, Urban, Postal Office, Grass, Plant, City, Town


School of Social Work


  • 525096
  • Morningside
  • School of Social Work
  • Full Time
  • Opening on: Apr 26 2022
  • Grade 13

Position Summary

The HEALing Communities Study will generate evidence about how tools for preventing and treating opioid addiction are most effective at the local level. This NIDA-funded multisite implementation research study will test the impact of an integrated set of evidence-based interventions across healthcare, behavioral health, justice, and other community-based settings in 16 New York State highly affected counties.  The goal is to prevent and treat opioid misuse and opioid use disorder (OUD) and significantly reduce opioid related deaths over three years.


We are seeking a public health professional with proven statistical analysis skills to provide a wide range of advanced statistical expertise, guidance, and support to HCS researchers, scientists, and staff. The incumbent participates in the design, development, and reporting of the New York HCS by analyzing and interpreting data when responding to a broad range of complex statistical issues that arise. The successful candidate will have a commitment to excellence, high degree of professional maturity, flexibility, and initiative. The successful candidate will also be able to work collaboratively with diverse individuals and teams.


    • Designs, analyzes, implements, and reports findings on targeted statistical research studies; provides consultation to investigators and researchers on experimental design and statistical research approaches, requirements, and scientific standards to advance medical knowledge and improve research in public health.
    • Works with investigators to formalize analysis plans and reporting specifications; advises as to choice of statistical analysis strategies, reliability of measurements and identifiability of models, and interpretation and presentation of statistical results.
    • Builds and sustains collaborative relationships with individuals in different disciplines and serves as subject-matter expert for research teams, internal and external committees, and other constituencies and collaborators.
    • Assists in the preparation of clinical trial documents and reports, protocols, investigator brochures, scientific abstracts, peer-reviewed manuscripts, and responses to requests from regulatory agencies, local Institutional Review Board, and other health authorities.
    • Reviews and analyzes safety reporting, biomarker analyses and other aspects of clinical trial monitoring.
    • Plans and documents computer data file structure; develops, programs, manages, and maintains complex statistical databases; performs or supervises data entry.
    • Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data; advises and assists in the development of inferences and conclusions, as appropriate.
    • Develops enhancements to statistical software, as appropriate, by programming new techniques; maintains knowledge of current and emerging trends in statistical analysis methodology.
    • Oversees and coordinates the work of statistical support staff, data entry staff, and/or students, as appropriate to the position, on a project, site, or operational basis.
    Performs miscellaneous job-related duties as assigned.

Minimum Qualifications

  • Degree in Biostatistics, Statistics, Life Sciences, Bioinformatics or other relevant field (master’s degree preferred)
  • 4-5 years of related experience
  • Prior experience in the field of addiction and substance use disorders encouraged
  • Skills:

    • Statistical programming in SAS and R
    • Statistical data analysis
    • Ability to conduct assigned projects in a timely manner and meet deadlines
    • Accuracy with strong attention to detail



Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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