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ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.
As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.
We are currently seeking a Statistical Programmer to join our diverse and dynamic team. As a Statistical Programmer at ICON, you will play a vital role in the development, validation, and execution of statistical programs to support clinical trial analysis and reporting. Your expertise will contribute to the accurate interpretation of clinical data, helping to ensure the successful delivery of research projects.
Your role will involve delivering statistical programming work to a high standard, working closely with your team and stakeholders.
What You Will Be Doing:
Developing, validating, and maintaining complex statistical programs (SAS, R, & similar) for data manipulation, analysis, and reporting in clinical trials.
Collaborating with biostatisticians and cross-functional teams to interpret study requirements and ensure the accurate implementation of statistical analyses.
Preparing and reviewing statistical analysis plans (SAPs), programming specifications, and derived datasets to meet regulatory standards.
Ensuring data integrity and compliance with industry regulations, including ICH/GCP guidelines, throughout the programming process.
Mentoring junior programmers and assisting in training team members on programming techniques and best practices.
Your Profile:
Bachelor's degree in statistics, mathematics, computer science, or a related field advanced degree is a plus.
5+ years experience as a statistical programmer within the clinical research industry, with strong knowledge of statistical methodologies and programming.
Proficiency in programming languages SAS and R, along with exposure to Python and R Shiny with experience in clinical data management systems.
Strong analytical and problem-solving skills, with a keen attention to detail and the ability to work independently.
Excellent communication skills, with the ability to convey complex statistical concepts to non-technical stakeholders and collaborate effectively with team members.
Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards & Benefits
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.
Benefits may include:
Benefits may vary depending on role and location.
Visit our to read more about the benefits ICON offers.
Inclusion and Accessibility
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.
If you require reasonable accommodations during the recruitment process, please let us know or submit a request.
Are you a current ICON Employee Please click to apply
ICON is an award-winning workplace that enables you to make a difference to patients' lives by being part of a world-class clinical research organisation that helps deliver new medicines & medical devices that are benefitting patients worldwide. You are also part of a diverse company that cares about our world and is dedicated to conducting business more sustainably and supporting the communities in which we live. If you're as driven as we are, join us. You'll be working in a great environment, with some of the brightest and the friendliest people in the sector, and you'll be helping shape an industry.
Job ID: 149559963
Skills:
R Programming, Sdtm, SAS, Sas Macros, TLF programming specs creation, ADAM
Skills:
Proc Sql, Sas, Sas Stat, Ods, Pharmaceutical, statistical programming
Skills:
mixed model , R Programming, Sdtm, SAS, Logistic Regression, Anova, ADAM, t-test, Wilcoxon tests, Missing Data analysis, cdisc, General Linear models, TFL, non-parametric statistics, ANCOVA, parametric statistics, Chi-Squared test, Binomial test
Skills:
SAS, Python, R, Statistical methodologies, Clinical data management systems
Skills:
cdisc standards , Sas Programming, Gcp, R Programming, ADAM, ICH standards