Associate Statistical SAS Programmers
GlaxoSmithKline is one of the world's leading pharmaceutical and healthcare companies, with statisticians and programmers working in Research and Development at UK and US sites. The Quantitative Sciences division includes a Clinical Programming department, covering all phases of clinical drug development and commercialisation in a wide range of therapeutic areas. In recognition of the developing sophistication and technical requirements of the role, Clinical Programming was formed as a standalone department distinct to Clinical Statistics. In addition to the group's activities supporting GSK's pipeline of drugs, key accountabilities include developing and implementing strategies for programming resourcing using both internal, external, onshore and offshore resource; driving CDISC implementation for the reporting of clinical trials; and identifying and implementing IT solutions to offer further benefit and efficiency for the group's activities.
We have multiple roles in all of our therapy areas - Oncology, Respiratory, Immuno Inflammation, HIV / Infectious Diseases and Future Pipeline Development (Neuroscience, Exploratory Discovery and Global Health). Opportunities exist to work in specific or varied therapy areas (in the case of the FPD group), on complex studies or potential game changing products, across the full clinical trials process from Phase I to IV. On the job and structured training will be provided to develop your statistical SAS programming career with GSK.
• Support the planning and execution of programming activities for GSK clinical trials.
• Creating and documenting analyses of clinical data while adhering to study protocols.
• Performs Quality Control (QC) of own work.
• Complete any post audit/inspection activities within the required timeline
• Executes tasks with supervision for third party oversight
• Keeps manager/supervisor informed of progress and activities; escalates issues as appropriate
During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process.
If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements please contact (+44) 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.
When applying for this role, please use the 'cover letter' of the on-line application to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
Thank you for your interest in this opportunity.
• BSc or higher in mathematics / statistics, computer science or science / technology related discipline.
• New or recent graduate.
• Experience with at least one programming language (e.g. R, Python, S-Plus), preferably SAS.
• Basic understanding of the end to end clinical trial process.
• Effective written, verbal communication skills.
• Knowledge of basic computer skills (MS Word, Excel, PowerPoint, Outlook).
At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products. We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.
You may apply for this position online by selecting the Apply now button.
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GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
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