Clinical Data Specialist
2 weeks ago
Location: Remote
Duration: 12 months contract (Potential to extend)
Position/Role/Title: Data Manager, Standardization
About the Role:
We are seeking a highly skilled Data Manager to join our Biomedical Data Stewardship team. As a Data Manager, you will be responsible for maintaining, extracting, consolidating, analyzing, and presenting complex internal and external clinical trial data standards.
Key Responsibilities:
- Build a comprehensive understanding of data standards structure across stages of development
- Update and maintain data standards metadata
- Develop integrations with the Metadata Repository (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
Requirements:
- 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 relevant programming languages (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
What We Offer:
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
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