M-Estimator careers
STATISTICAL SCIENCE
The statistical approach taken is driven by the research question - from standard techniques to innovative methods.
- Design, Analysis, Interpretation, and Reporting of Clinical studies in Phase 1-4
- Machine Learning: supervised and unsupervised learning
- Integrated summaries (ISS, ISE) and Database Integration
- Periodic Safety Updates (PSURs)
- Post-marketing surveillance and Medical Affairs
- Electronic Regulatory Submission and Health Authority Requests
STATISTICAL PROGRAMMING
Statistics and Data Science cohere with statistical programming. We have a highly structured and industry-proven system of delivering tables, figures, and listings with Consistency and Efficiency.
- End-to-End streamlined programming with CDISC compliances, including:
- CRF annotation,
- SDTM mapping,
- ADaM development, and TLF generation;
- Legacy Data Conversion,
- Define-xml generation and Reviewer's Guides documentation.
The statistical approach taken is driven by the research question - from standard techniques to innovative methods.
- Design, Analysis, Interpretation, and Reporting of Clinical studies in Phase 1-4
- Machine Learning: supervised and unsupervised learning
- Integrated summaries (ISS, ISE) and Database Integration
- Periodic Safety Updates (PSURs)
- Post-marketing surveillance and Medical Affairs
- Electronic Regulatory Submission and Health Authority Requests
STATISTICAL PROGRAMMING
Statistics and Data Science cohere with statistical programming. We have a highly structured and industry-proven system of delivering tables, figures, and listings with Consistency and Efficiency.
- End-to-End streamlined programming with CDISC compliances, including:
- CRF annotation,
- SDTM mapping,
- ADaM development, and TLF generation;
- Legacy Data Conversion,
- Define-xml generation and Reviewer's Guides documentation.
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