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Associate Statistical Programmer

  1. Swansea
JR118356
  1. ICON Full Service & Corporate Support
  2. Clinical Programming
  3. Hybrid: Office/Remote

About the role

This vacancy has now expired. Please see similar roles below...

Graduate Associate Statistical Programmer - This role will be Swansea Office Based

We are looking to grow our Statistical Programmer team in Swansea with an Academy Program starting in late September 2024. Our Swansea Office is home to multiple graduate schemes and has a strong record of producing fantastic experts in their respective fields. This also sets it apart as being a great social environment and its modern city centre, waterfront building makes it a brilliant place to work.

ICON plc is a world-leading healthcare intelligence and clinical research organisation. From molecule to medicine, we advance clinical research providing outsourced services to pharmaceutical, biotechnology, medical device and government and public health organisations. With our patients at the centre of all that we do, we help to accelerate the development of drugs and devices that save lives and improve quality of life. Our people are our greatest strength, are at the core of our culture, and the driving force behind our success. ICON people have a mission to succeed and a passion that ensures what we do, we do well.

General Summary:

Provides statistical programming support for the implementation of data models and the reporting of clinical trials.

Primary Responsibilities:

Develops and performs quality control on analysis datasets and tables, figures and listings via an appropriate statistical analysis system (i.e. SAS®).

Provides input to the statistical analysis plan, table shells, data integration plans, and publications.

Liaises with other departments to properly implement data models (e.g. SDTM/ADaM).

Researches new technologies and techniques to improve efficiency of programming outputs.

Programs statistical analyses (via analysis datasets, tables, figures, listings, etc.) using an appropriate statistical analysis systems (i.e. SAS®).

Helps ensure the accuracy and consistency of data flow from case report forms (CRFs) and database definitions, through to and specifications for analysis datasets.

Assists in the development of new processes and makes sure all process improvements are implemented.

Reviews and provides feedback regarding statistical analyses plans.

Exhibits excellent written and oral communication skills.

To be successful in the role, you will have:

  • Bachelor’s degree in a quantitative or scientific field
  • Interest in developing a long-term career within Statistical Programming
  • Ability to prioritize and manage multiple tasks efficiently
  • Excellent written and verbal skill

Benefits of Working in ICON:

Our success depends on the knowledge, capabilities and quality of our people. That’s why we are committed to developing our employees in a continuous learning culture – one where we challenge you with engaging work and where every experience adds to your professional development.

At ICON, our focus is to provide you with a comprehensive and competitive total reward package that comprises, not only an excellent level of base pay, but also a wide range of variable pay and recognition programs. In addition, our best in class employee benefits, supportive policies and wellbeing initiatives are tailored to support you and your family at all stages of your career - both now, and into the future.

ICON, including subsidiaries, is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below.

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