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Cytel

Principal Statistical Programmer FSP - RWD/EPI

  • Canada

Full-time

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Job details

Job type
Full-time
Posting language
English
Posted

Original job description

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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More about this job

Responsibilities

Prepare and analyze real-world data from claims, electronic health records, and other sources, including creating analytical databases, linking datasets, and producing tables and figures. Partner with epidemiologists and stakeholders to support study protocols, analysis plans, regulatory and safety documents, study reports, and timely delivery of project results.

Requirements

A master's degree or PhD in a related field and at least five years of real-world evidence analytics experience are required. Candidates must have intermediate-to-expert SQL proficiency, SAS or R skills, expertise with real-world data sources, and experience with applied statistical methods, project management, and stakeholder communication.

Skills

  • SQL
  • SAS
  • R
  • Real-World Evidence Analytics
  • Epidemiology
  • Statistical Programming
  • Statistical Analysis
  • Data Preparation
  • Data Linkage
  • Regression Analysis
  • Survival Analysis
  • Propensity Weighting
  • Relational Databases
  • Project Management
  • Stakeholder Communication
  • Data Visualization

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Categories

  • Data & Analytics
  • Science & Research
  • Healthcare
  • Technology

Keywords

  • Real-World Data
  • Real-World Evidence
  • Epidemiology
  • Biostatistics
  • Statistical Programming
  • SQL
  • SAS
  • R
  • Claims Data
  • Electronic Health Records
  • Optum Clinformatics Datamart
  • Market Clarity
  • Truveta
  • UK Biobank
  • Relational Databases
  • Data Linkage
  • Analytical Databases
  • Study Protocols
  • Analysis Plans
  • Regression Analysis
  • Longitudinal Analysis
  • Logistic Regression
  • Cox Regression
  • Generalized Linear Models
  • Generalized Estimating Equations
  • Survival Analysis
  • Kaplan-Meier
  • Cumulative Incidence
  • Accelerated Failure Time Models
  • Propensity Weighting

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