
51 - 200 employees
💼 Consulting
🏥 Healthcare
🧬 Biotechnology
Consulting • Healthcare • Biotechnology
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.
🕒 July 16
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51 - 200 employees
💼 Consulting
🏥 Healthcare
🧬 Biotechnology
Consulting • Healthcare • Biotechnology
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.
• Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency • Develops reusable and robust R package code and/or utilities, along with detailed training/documentation • Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment • Partners with study teams in use and further improvement of processes and tools • Facilitates change management activities and training for department systems and processes
• Minimum 5 years’ industry experience (Pharma, Biotech, CRO) • Experience with R within regulated clinical development environments • Strong R data manipulation and analysis skills using standard tidyverse packages • Strong R visualization skills for use in static outputs and dashboards • Experience with developing R packages including proper documentation and testing • Experience developing SAS code including SAS/MACRO preferred • Familiarity with Posit products including Workbench, Positron, and Connect • High attention to detail including proven ability to manage multiple, competing priorities • Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials’ data • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
Apply Now🕒 July 16
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