
Senior Data Analyst
4 days ago
Sponsor-dedicated: A Critical Role in Innovation
As a Senior Statistical Programmer, you will be at the heart of our client's innovation team, working closely with a global pharmaceutical client to drive the next generation of patient treatment.
Position Overview:This exciting opportunity involves leveraging advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. The role can be performed fully remotely.
Our Values:- We apply scientific rigor to unlock the full promise inherent in data.
- We foster intellectual curiosity and encourage new challenges with enthusiasm and discovery.
- We value collaboration and invite diverse perspectives to create possibilities.
- We prize innovation and seek intelligent solutions using leading-edge technology.
Responsibilities:
- Perform data manipulation, analysis, and reporting for clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming.
- Generate and validate SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs).
- Produce and quality check/validation programming.
- Generate complex ad-hoc reports using raw data.
- Apply strong understanding/experience of Efficacy analysis.
- Create and review submission documents and eCRTs.
- Communicate with internal cross-functional teams and clients for project specifications, status, issues, or inquiries.
- Perform lead duties when called upon.
- Serve as a team player, willing to go the extra distance to get results, meet deadlines, etc.
- Be adaptable and flexible when priorities change.
Qualifications:
- 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, with a bachelor's degree or equivalent. At least 5 years of related experience with a master's degree or above.
- Study lead experience, preferably juggling multiple projects simultaneously preferred.
- Strong SAS data manipulation, analysis, and reporting skills.
- Solid experience implementing the latest CDISC SDTM / ADaM standards.
- Strong QC / validation skills.
- Good ad-hoc reporting skills.
- Proficiency in Efficacy analysis.
- Familiarity with drug development life cycle and experience manipulating, analyzing, and reporting clinical trials' data.
- Submissions experience utilizing define.xml and other submission documents.
- Experience supporting immunology, respiratory, or oncology studies would be beneficial.
- Excellent analytical and troubleshooting skills.
- Ability to provide high-quality output and deliverables within challenging timelines.
- Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
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