Senior Statistical Programmer - FSP
AI summary
IQVIA is hiring a Senior Statistical Programmer on a full-time basis in Nairobi to lead clinical programming activities, including ADaM dataset design, CDISC-compliant outputs, and complex SAS programming for Phase I-IV clinical trials. The role requires a BSc in Computer Science or related field and at least 5 years of experience in statistical programming or clinical data analysis.
- Full-time role based in Nairobi with a leading global clinical research organization
- Leads design and delivery of CDISC ADaM datasets, tables, figures, and listings
- Requires BSc in Computer Science or related field and minimum 5 years experience
- Involves pooled analyses, ISS/ISE deliverables, and global tool development
- Applicants warned never to pay for notarisation, certificates, or assessments during recruitment
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IQVIA, formerly Quintiles and IMS Health, Inc.,is an American multinational company serving the combined industries of health information technology and clinical research. It is a provider of biopharmaceutical development and commercial outsourcing services, focused primarily on Phase I-IV clinical trials and associated laboratory and analytical services,...
Senior Statistical Programmer - FSP
Job Type: Full Time
Qualifications
BA/BSc/HND
Experience
5 years
Location: Nairobi
Job Field: Data, Business Analysis and AI
,
ICT / Computer
Main Responsibilities and Accountabilities:
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 plans and executes activities to ensure project timelines are met with high quality deliverables.
Additional tasks:
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,
Position Qualifications and Experience Requirements:
Education
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
Indepth 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.
Good experience in R Programming is mandatory for this role (Hands on experience)
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 (or equivalent).
Proven ability to work effectively both independently or in a team setting, and to meet set goals by managing own timelines.
Experience in working in cross-functional, multicultural and international clinical trial teams.
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Method of Application
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- IQVIA on jobs.iqvia.com
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