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About the role

  • Senior Programmer analyzing real-world healthcare data for a pharmaceutical company’s epidemiology studies. Developing analytical databases, conducting statistical analyses, and presenting research findings.

Responsibilities

  • Provide support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in epidemiology analytic activities
  • Program and conduct statistical analysis under the direction and supervision of epidemiologists/statisticians, including data coding, algorithm creation, dataset linkage, and use of statistical packages or platforms
  • Support statistical programming for data standardization, visualization, and reporting of observational data
  • Support Medical Affairs, Global Patient Safety and Risk Management, and Clinical Development activities involving RWD and observational studies
  • Partner with Epidemiologists to manage relationships with internal and external stakeholders
  • Prioritize and manage work across multiple projects and stakeholders
  • Provide strong communication for successful and timely project delivery
  • Solve technical problems using experience and expertise
  • Assist in developing study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
  • Liaise with data vendors to obtain relevant data extracts
  • Create analytical databases from data extracts
  • Conduct analyses according to study protocols and analysis plans
  • Produce tables and figures for investigators, clients, and study reports
  • Present results internally and to clients
  • Assist in preparing study reports and other deliverables
  • May have supervisory responsibilities in the future

Requirements

  • Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution
  • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required
  • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank
  • Experience analyzing clinical trial and/or registry data is required
  • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts
  • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting
  • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion
  • Confident and competent when interacting with internal and external stakeholders
  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

SQL

Location requirements

RemoteUnited States

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