Principal Statistical Programmer

Job not on LinkedIn

🔥 12 hours ago

🌐 India, United Kingdom, +1 more countries – Remote

🇮🇳 India – Remote 🇬🇧 United Kingdom – Remote 🇿🇦 South Africa – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 20%

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🧬 Biotechnology

Consulting • Healthcare • Biotechnology

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Perform data manipulation, analysis and reporting of clinical trial data, including safety and efficacy (ISS/ISE), using SAS programming • Generate and validate SDTM and ADaM datasets/analysis files, tables, listings, and figures (TLFs) • Perform production and QC / validation programming • Generate complex ad-hoc reports using raw data • Apply strong understanding and experience of efficacy analysis • Create and review submission documents and eCRTs • Communicate with internal cross-functional teams and clients regarding project specifications, status, issues, and inquiries • Perform lead duties when called upon • Meet deadlines and contribute as a team player • Adapt to changing priorities

🎯 Requirements

• Bachelor’s degree in Statistics, Computer Science, Mathematics, etc. • At least 6 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent • At least 4 years of related experience with a master’s degree or above • Study lead experience preferred • 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 the drug development life cycle and clinical trial data manipulation, analysis and reporting • Submissions experience utilizing define.xml and other submission documents • Excellent analytical and troubleshooting skills • Ability to provide quality output and deliverables within challenging timelines • Ability to work effectively in a globally dispersed team environment with cross-cultural partners

🏖️ Benefits

• Consistent training, development and support • Significant professional growth opportunities • Fully remote work arrangement