Summary Description
In this role we are looking for individuals with metadata, database and programming expertise, a quantitative science background (data science, computer science, mathematics, or similar), and a passion for drug development. The candidate for this role will work within the Biomedical Data Stewardship team here at Amgen. This role will have an opportunity to work across Amgen’s pipeline to participate in and lead the maintenance, extraction, consolidation, analysis, and presentation of complex internal and external clinical trial data standards. The role will provide opportunities to develop leadership skills and utilize standardization methods to drive clinical development strategy.
Detailed Description
Position/Role/Title: Data Analyst
GCF: NA
EW: Contract Worker
Duration: Start ASAP with 1 Year with option to renew up to 3 years
Department: BMDS
Supervisor: Matthew Gribbin
Ideal candidate:
• Metadata, database, programming with knowledge of pharmaceutical industry data standards
• 4 or more years of pharmaceutical/biotech experience in drug development
• Doctoral degree or master’s degree with relevant experience.
Remote - open to any time zone.
In this role you will:
• Build a comprehensive understanding of Amgen’s data standards structure across stages of development
• Build a comprehensive understanding of the Metadata Repository (MDR) product and design, and identify areas for improvement and expansion
• Update and maintain Amgen’s data standards metadata
• Develop integrations with the MDR enabling visualization of the standards, compliance reporting, and metrics
• Use SAS Enterprise Guide to develop and maintain SAS programs to extract Data Element Standards and to create datasets, reports, and workbooks
• Use data analytics software such as R and R Shiny, Tableau, etc. to develop software solutions and data visualizations
What we expect of you
Basic Qualifications:
• Master’s degree and 3 years quantitative science experience OR
• Bachelor’s degree and 5 years quantitative science experience
• Knowledge of pharmaceutical industry data standards
• Good understanding of clinical trials and clinical data
• Proficient in SAS programming language
• Proficient in R programming language and Shiny app development
Preferred Qualifications:
• Master’s degree with relevant experience
• 4 or more years of pharmaceutical/biotech experience in drug development
• Experience working with pharmaceutical industry data standards
• Excellent SAS and/or R computing, modeling, and visualization skills
• Experience working with multiple languages in the Shiny environment (for example. JavaScript, CSS, Python, VBA, etc.)
• Proven project leadership experience
• Independent and self-motivated
• Strong organizational skills such that facilitate multi-tasking in time-sensitive environments
• Strong communication and collaboration skills
Remote location