About this opportunity
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, Statistics, Mathematics, Life Sciences, or a related field; or an equivalent combination of education and experience.
Fluency in Swedish (spoken and written), required for working with Swedish data and documentation is mandatory for this role
6+ years of experience in statistical programming within register based research.
Advanced SAS/R programming skills.
Strong understanding of Swedish National Health Registries, and statistical analysis concepts.
Proven ability to handle complex programming deliverables with accuracy and attention to detail.
Strong organizational, problem‑solving, and communication skills.
Ability to manage multiple tasks and meet tight deadlines.
Proven Staff management skills, strong leadership, motivational and influencing skills.
Preferred Qualifications
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.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 83 comparable Manager Biostatistics & Data Science roles across 25 biopharma companies.
Salary context
46 of 83 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 83 comparable roles
+ 8 more countries
Seniority mix
83 of 83 peers have a known seniority level
Therapeutic area mix
10 of 83 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.