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IQIQVIA

.statistical Programmer(m/w/x)

Frankfurt am Main
Full-timeOn-siteJunior
AI/ML
Data Science

Programming scoring algorithms for COA measures at clinical trial data firm. Base SAS with macro and R skills required. API experience, simulation dataset scoring, and statistical feature implementation.

Requirements

  • Statistical and psychometric research skills
  • Strong computer skills
  • Base SAS with macro
  • R skills
  • API experience
  • Connecting to databases with SAS/R
  • Programming with validation/QC in regulated environment
  • Excellent written and oral communication skills
  • Grammatical/technical writing skills
  • Critical attention to detail
  • Accuracy with details
  • Strong individual initiative
  • Organizing skills
  • Commitment to quality
  • Ability to work within a team environment
  • Ability to establish and maintain effective working relationships
  • Confidently communicate with internal and external teams
  • Effectively present information to internal and external teams
  • Work in a fast-paced environment
  • Demonstrated ability to effectively manage multiple tasks and projects
  • Extensive familiarity with AI tools
  • Demonstrable experience with AI tools
  • Advanced degree in statistics or psychometrics
  • Experience in statistical programming
  • Interest in patient-centered research
  • Interest in clinical research
  • Consulting experience with pharmaceutical companies
  • Accurate perception of speech
  • Extensive use of a keyboard
  • Sit for extended periods of time

Tasks

  • Develop scoring rules and program scoring algorithms for COA measures
  • Generate standard scoring documentation for new instruments
  • Program simulation datasets and Data Quality Evaluation (DQE)
  • Score domains on simulation datasets
  • Implement new statistical features in random data generation
  • Simulate real-world instrument data with specific psychometric properties
  • Add advanced statistical capabilities to user tools (Insights Hub, PROCore)
  • Collaborate cross-functionally with non-statisticians and psychometricians
  • Support the development of new COA measures and endpoints
  • Program classical and modern psychometric analyses
  • Analyze meaningful thresholds
  • Program high-frequency and continuous DHT data
  • Support algorithm validation with data scientists
  • Verify digital measure performance across diverse datasets and devices

Education

  • Master's degree

Languages

  • EnglishNative

Tools & Technologies

  • Base SAS
  • SAS macro
  • R
  • API
  • AI tools
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