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.statistical Programmer(m/w/x)
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
- English – Native
Tools & Technologies
- Base SAS
- SAS macro
- R
- API
- AI tools
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.statistical Programmer(m/w/x)
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
- English – Native
Tools & Technologies
- Base SAS
- SAS macro
- R
- API
- AI tools
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
IQVIA
Industry
Pharmaceuticals
Description
IQVIA is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients.
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