
Advanced Clinical Trial Data Analyst
5 days ago
Sponsor-dedicated opportunities abound in the pharmaceutical industry, where professionals can work embedded within clients, backed by a supportive team. As a Senior Statistical Programmer, you'll be at the forefront of innovation, driving the next generation of patient treatment. This is an exciting time to join our global client, empowering individuals with autonomy and ownership.
Position Overview:
As a Senior Statistical Programmer, you will leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead Phase I-IV clinical trials. This role offers the flexibility of remote work.
Our Core Values
- We uphold scientific rigor to unlock data's full potential.
- We foster intellectual curiosity, encouraging new challenges with enthusiasm and discovery.
- We value collaboration, embracing diverse perspectives to create possibilities.
- We prize innovation, harnessing leading-edge technology for intelligent solutions.
Responsibilities
How you will contribute:
- Perform data manipulation, analysis, and reporting of clinical trial data, using SAS programming.
- Generate and validate SDTM and ADaM datasets/analysis files, tables, listings, and figures.
- Deliver production and quality control/validation programming.
- Produce complex ad-hoc reports using raw data.
- Apply strong understanding/experience of efficacy analysis.
- Create and review submission documents and eCRTs.
- Communicate with internal teams and clients regarding project specifications, status, issues, or inquiries.
- Lead duties when called upon.
- Collaborate as a team player, adapting to changing priorities.
Qualifications
To succeed in this position, you will have:
- Bachelor's degree in Statistics, Computer Science, Mathematics, etc.
- At least 7 years of SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry, or equivalent with relevant experience.
- Study lead experience, preferably managing multiple projects simultaneously.
- Strong SAS data manipulation, analysis, and reporting skills.
- Solid experience implementing CDISC SDTM / ADaM standards.
- Quality control/validation expertise.
- Ad-hoc reporting skills.
- Efficacy analysis proficiency.
- Experience manipulating, analyzing, and reporting clinical trials' data.
- Submissions experience using define.xml and other submission documents.
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