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Open nowPosted yesterday

Principal Statistical Programmer FSP - RWD/EPI

Cytel38 open roles

Where
United States, Canada
Work mode
Remote
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Your applicationOpen nowPrincipal Statistical Programmer FSP - RWD/EPICytel · United States, Canada

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Cytel postings stay open a median of 19 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted yesterday

Cytel median: 19 days open

The posting

Job Description

You will contribute by:

  • Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities
  • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms
  • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data
  • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)The position will partner with Epidemiologists to manage relationships with internal and external stakeholders
  • Being able to prioritize and manage work across multiple projects and stakeholders
  • Providing strong communication to ensure successful and timely project delivery
  • Solving technical problems with experience and expertise

Responsibilities

Summary of Key Responsibilities:

  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
  • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols
  • Create analytical databases from data extracts to facilitate conduct of data analyses
  • Conduct analyses consistent with methods set forth in study protocols and analysis plans
  • Produce tables and figures for discussions with other investigators, clients, and for study reports
  • Present results internally and to clients
  • Assist in the preparation of study reports and other deliverables
  • May have supervisory responsibilities in the future

Qualifications

What we’re looking for:

  • 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 desirable
  • 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
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