
Biotechnology • Pharmaceuticals • Healthcare Insurance
Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.
October 14

Biotechnology • Pharmaceuticals • Healthcare Insurance
Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.
• Leverage advanced SAS programming skills to support or lead Phase I-IV clinical trials • Perform data manipulation, analysis, and reporting of clinical trial data • Generate and validate SDTM and ADaM datasets/analysis files • Produce and validate programming outputs • Generate ad-hoc reports using raw data • Create and review submission documents and eCRTs • Communicate with internal teams and clients for project specifications and inquiries • Perform lead duties when called upon • Adapt to changing priorities and contribute to team success
• Bachelor’s degree in Statistics, Computer Science, Mathematics, etc. • At least 8 years of SAS programming in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent • At least 6 years with a master’s degree or above • Strong SAS data manipulation, analysis and reporting skills • Solid experience implementing CDISC SDTM / ADaM standards • Strong QC / validation skills • Good ad-hoc reporting skills • Proficiency in Efficacy analysis • Familiarity with drug development life cycle • Submissions experience utilizing define.xml and other submission documents • Experience supporting immunology, respiratory or oncology studies would be a plus • Excellent analytical & troubleshooting skills • Ability to provide quality output and deliverables, meeting challenging timelines • Ability to work effectively in a globally dispersed team environment
• Sponsor-dedicated work environment • Support for professional development • Opportunity to work with global pharmaceutical clients
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