
Senior Data Analytics Expert
1 day ago
As a Senior Statistical Programmer, you will be responsible for leveraging your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.
You will perform data manipulation, analysis, and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming.
Additionally, you will generate and validate SDTM and ADaM datasets/analysis files, and tables, listings, and figures.
Furthermore, you will produce and QC/validation programming, generate complex ad-hoc reports utilizing raw data, apply strong understanding/experience of Efficacy analysis, create and review submission documents and eCRTs.
And finally, you will communicate with internal cross-functional teams and clients for project specifications, status, issues, or inquiries.
Required Skills and Qualifications- Bachelor's degree in Statistics, Computer Science, Mathematics, or related field.
- At least 7 years of SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry, or equivalent.
- Study lead experience, preferably juggling multiple projects simultaneously.
- Strong SAS data manipulation, analysis, and reporting skills.
- Solid experience implementing 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 with clinical trials' data manipulation, analysis, and reporting.
- 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 quality output and deliverables, adhering to challenging timelines.
- Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
- The role can be performed fully remotely, allowing for flexibility and autonomy.
- Our values:
- We apply scientific rigor to reveal the full promise inherent in data.
- We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and a desire for discovery.
- We believe in collaboration and invite diverse perspectives, drawing on various talents to create a wealth of possibilities.
- We prize innovation and seek intelligent solutions using leading-edge technology.
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