IQVIA
Life Sciences
Manager,StatisticalProgramming
Neural analysis suggests this role is
optimal for Senior candidates.
“Manager, Statistical Programming at IQVIA. Skills: Statistical Programming, SAS, R, Swedish Health Data. Manage a team. Develop procedures”
What You'll Achieve.
Support the delivery of statistical programming activities; contribute to the development of analysis datasets, TLFs, SAP localization, and various project deliverables; meet project milestones; ensure high‑quality outputs
Industry & Context.
problem‑solving skills
Fluency in Swedish (spoken and written) — required for working with Swedish data and documentation is mandatory for this role
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, or a related or an equivalent combination of education and experience, Fluency in Swedish (spoken and written), 6+ years of experience in statistical programming within register based research, Advanced SAS/R programming skills, understanding of Swedish National Health Registries, statistical analysis concepts, Proven ability to handle complex programming deliverables with accuracy and attention to detail, organizational, problem‑solving, and communication skills, Ability to manage multiple tasks and meet tight deadlines, Proven Staff management skills, leadership, motivational and influencing skills
Nice to Have
Experience working with PASS studies or real‑world evidence (RWE) studies, Experience with Swedish health registers and national datasets, Experience with SAP localization or Swedish regulatory submissions, Experience integrating large and complex observational/registry datasets
What You'll Do.
Lead programming activities
Develop SAS/R programs
Support SAP localization
Support data applications
Develop programming macros
Serve as programming lead
Collaborate with teams
How You'll Work.
Team & Collaboration
Collaborate effectively with cross‑functional teams
Communication Scope
communication skills
Process & Methodology
Manage multiple tasks, meet tight deadlines, Organize and allocate resources
Full Job Description
We are seeking an experienced Statistical Programming Manage to support the delivery of statistical programming activities for studies involving Swedish health data in our RWE BIOS team . This role requires strong technical expertise, hands-on programming experience, and the ability to work with Swedish Health datasets, documentation, and submissions. The position will contribute to the development of analysis datasets, TLFs, SAP localization, and various project deliverables across observational and PASS studies. **Key Responsibilities** * Manage a team of Statistical Programming (SP) staff, including hiring, training, and supervising department members. * Develop, recommend, and implement standard procedures, measures of performance, and training programs. * Organize and allocate resources according to multi-project requirements and deadlines. * Lead and execute programming activities for complex studies, including creation of statistical tables, and figures (TLFs), and analysis datasets (derived datasets). * Develop, test, and document high‑quality SAS/R programs in accordance with study requirements and quality standards. * Integrate data from multiple studies or sources, including Swedish National Registries. * Create and review programming specifications, dataset specifications, and related documentation. * Support localized Statistical Analysis Plans (SAPs) for Swedish data and ensure alignment with local standards and data structures. * Support preparation of data applications and documentation submitted in Swedish. * Develop and validate programming macros, tools, and process improvements. * Serve as programming lead on assigned studies, coordinating deliverables and timelines. * Provide guidance, mentorship, and technical support to junior programming staff. * Collaborate effectively with cross‑functional teams to meet project milestones and ensure high‑quality outputs. **Required Qualifications** * Bachelor’s or Master’s degree in Computer Science, Statis
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