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Crea una Job Alert gratuita per principal statistical programmer - fsp (permanent homebased) m/w/d / milano

Principal statistical programmer - fsp (permanent homebased) m/w/d

Pubblicato il 03-09-2026 - Iqvia in Milano

Job Overview As a Principal Statistical Programmer you will provide advanced technical expertise to develop process methodology for the department to meet internal and external clients' needs, across complex projects and studies. This involves planning and coordinating the development of integrated programming solutions, serving the full spectrum of statistical programming needs. You will provide internal consulting services, including specifications and user needs analysis for complex project or client requirements.

Key Responsibilities

Perform, plan co-ordinate, and implement the following for complex studies: The programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing The programming of analysis datasets (derived datasets) and transfer files for internal and external clients The programming quality control checks for the source data and to report the data issues periodically Ability to interpret project level requirements and develop programming specifications, as appropriate, for complex studies.

Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams Fulfil project responsibilities at the level of technical team lead for single complex studies or group of studies.

Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables Use and promote the use of established standards, SOP and best practices Provide training and mentoring to SP team members Requirements Bachelor's Degree in Maths, Computer science, Statistics,



or related field 7+ years' Statistical Programming experience within the Life Science Industry Strong Efficacy experience Advanced knowledge of statistics, programming and/or clinical drug development process Advanced knowledge of computing applications such as R, SAS, SAS Graph and SAS Macro Language Advanced knowledge of relevant Data Standards (such as CDISC/ADa M/SDTM) Join IQVIA to see where your skills can take you Global exposure Variety of therapeutic areas Collaborative and supportive team environment Access to cutting-edge and innovative, in-house technology Excellent career development and progression opportunities Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!

It takes passion to make the extraordinary possible for patients. Our culture of innovation and collaboration enables us to explore new possibilities and help improve health around the world.

When you join our diverse, global team, you'll harness the power of unparalleled data, advanced analytics, cutting-edge technologies, and deep healthcare and scientific expertise to drive healthcare forward This role is not eligible for UK visa sponsorship 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 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.

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