Senior Statistical Programmer

Senior Statistics Programmer

• Location: Sweden
• Work model: Remote
• Type of contract: 6 – month full time, fixed term contract with a possibility of extension
• Our client: A global organization providing advanced data analytics, clinical research, and technology solutions for the healthcare sector. It supports pharmaceutical and medical companies in making data-driven decisions and developing innovative therapies.

Responsibilities

• Provide experienced technical expertise to develop process methodology for department to meet internal and external clients' needs.
• Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs.
• Provide technical expertise and leadership to the department.
• Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements.
• Essential Functions Perform, plan and co-ordinate the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing summaries and (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients.
• May perform and plan the programming of database quality control checks.
• Program and plan the integration of databases from multiple studies or sources.
• Develop and co-ordinate programming documentation including plans and specifications, as appropriate, for complex studies.
• Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department, for complex studies.
• Perform, plan and co-ordinate the development, implementation and validation of new process technologies, macros and applications.
• Fulfill project responsibilities at the level of statstical team lead for single complex studies or group of studies.
• Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage Out of Scope and resource forecasts for single studies.
• May manage project budget and resource requirements, and provide revenue forecasts for single studies.
• Provide training and guidance to lower level staff.

Required Qualifications

• Strong experience with register‑based research with in‑depth knowledge of local national health registers
• Advanced SAS 9.4 / Base SAS programming skills (R programming skills are an advantage)
• Proven ability to manage large and complex datasets
• Good understanding of Common Data Models (CDMs) for multi-country studies
• Experience working as a statistical programmer or data scientist with a focus on Real World Evidence (RWE) studies
• Previous pharmaceutical or CRO experience is an advantage but not mandatory