CornerStone Technology Talent Services is seeking a highly skilled and motivated Data Standardization Manager for a fully remote role (applicants must reside in Texas, AZ, FL, GA, NC, SC, KY, or IN and be GC or USC able to work on W2).
We are looking to speak with qualified candidates immediately.
Responsibilities :
- Develop a comprehensive understanding of the company's data standards structure across all stages of development.
- Maintain and update data standards metadata.
- Lead and participate in the maintenance, extraction, consolidation, analysis, and presentation of complex internal and external clinical trial data standards.
- Develop integrations with the Metadata Repository (MDR) to enable visualization of standards, compliance reporting, and metrics.
- Use SAS Enterprise Guide to develop and maintain SAS programs to extract Data Element Standards, create datasets, reports, and workbooks.
- Utilize data analytics software such as R, R Shiny, and Tableau to develop software solutions and data visualizations.
- Build and improve the design of the Metadata Repository (MDR) product.
Requirements :
- Master's degree and 3 years of quantitative science experience or Bachelor's degree and 5 years of quantitative science experience.
- Knowledge of pharmaceutical industry data standards.
- Proficiency in SAS and R programming languages, including Shiny app development.
- Experience with connecting databases and pulling data using APIs.
- Strong experience with metadata, database management, and programming.
- 4 or more years of pharmaceutical / biotech experience in drug development.
- Excellent computing, modeling, and visualization skills in SAS and / or R.
- Proficiency in additional programming languages (e.g., JavaScript, CSS, Python, VBA) is a plus.
- Proven project leadership experience.
- Strong organizational, communication, and collaboration skills.
- Ability to work independently and self-motivate in a time-sensitive environment.
Preferred Qualifications :
- Master's degree with relevant experience.
- Deep understanding of clinical study standards.
- Advanced data management and programming skills.
- Strong analytical and troubleshooting expertise.
No third parties for now, please.
1 day ago