Senior Statistical Programmer

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IQVIA

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

🧬 Biotechnology

🤖 Artificial Intelligence

💰 $1G Post-IPO Debt on 2023-05

Healthcare Insurance • Biotechnology • Artificial Intelligence

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• Responsible for the review of datasets in submission ready standard format (ADaM), tables, figures, listings and submission packages • Provide expertise in the design, development and quality control process for SAS programs used to access, extract, transform, review, analyze and submit clinical data for all requested analyses • Collaborates with the study teams to design data structure and specifications for ad hoc and study deliverables including, but not limited to ADaM datasets, Tables, Figures, Listings and Analysis Submission content • Collaborates with study teams to ensure the quality and accuracy – thus submission readiness – of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml) • Leads and oversees requested efforts for pooled and exploratory analyses working closely with Statistics TA lead and/or study statisticians as well as with clinical programming team and their collection of legacy data • Leads and oversees the in-house specification and delivery of ISS and ISE datasets and associated output (tables, figures and listings) when not provided by CRO • Leads and oversees the design and implementation of complex SAS programs for applications designed to analyze and report complex clinical trial data in CDISC ADaM format • Leads and oversees the development of global tools that will increase the efficiency and capacity of the Statistical Programming group • Works closely with clinical study teams to plan and execute activities to ensure project timelines are met with high quality deliverables • Collaborates with CR&D staff regarding data analysis requests • Performs additional statistical analyses including but not limited to support responses to regulatory agencies, generate integrated summary of safety and efficacy, support publications and presentations, support planning and reporting of clinical trials via exploratory analyses of available data

🎯 Requirements

• BSc in Computer Science, Mathematics, Statistics or related area with relevant experience • At least 5+ years of experience in either clinical programming and/or statistical programming, within the CRO/pharmaceutical environment using SAS Software • In depth understanding of clinical programming and/or statistical programming processes and standards • Extensive experience with statistical programming using the SAS software including development and use of SAS Macros • Strong programming and problem-solving skills • Trained / hands on experience of R Programming • Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM) • Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities • Proven ability to work effectively both independently or in a team setting, and to meet set goals by managing own timelines • Experience working in cross-functional, multicultural and international clinical trial teams

🏖️ Benefits

• Collaborate with industry leaders on projects at the forefront of clinical innovation • Gain exposure to a variety of therapeutic areas, indications, and phases • Career development opportunities to grow as we grow • AI‑powered career advancement through our internal talent marketplace • Mentorship opportunities across the organisation via Employee Resource Groups • Flexible working to assist work–life balance and professional success