Our growing and successful business comprises over 700 talented individuals globally, in an environment where everybody counts and is instrumental to our success. With state-of-the-art manufacturing and clinical facilities in the UK and USA, we deliver a full range of drug development solutions around the globe saving our clients both time and money.
People join Quotient Sciences because we are a respected member of the drug development world, specialising in delivering innovative solutions that integrate formulation development, real time GMP manufacturing, clinical testing and data sciences. We pride ourselves on the quality of our services and our engaged culture. We are passionate about helping our customers get new medicines to market.
Data Sciences at Quotient Sciences comprises over 60 staff and provides an expert service in the data management, modelling, analysis and reporting of early Phase clinical studies (both healthy volunteer and patient). Due to our continued growth and success we are seeking an experienced statistical programmer, with SAS knowledge, to work as part of a multi-disciplinary team to deliver high quality services to our clients within our Statistical Programming department.
Each clinical study is set-up according to the clinical protocol which details the study design, objectives, dosing information, data collection and reporting methods. Other project team members will perform tasks such as study database set-up, collection of data, perform formal statistical analysis, report writing, etc. Working as part of the team you will be responsible for the production of datasets for analysis and transfer purposes (including CDISC, SDTM/ADaM and define.xml), programming of report standard tables, listings and figures and review/input into key study documents e.g. Data Management Plans, Reporting and Analysis Plans. Early Phase studies present particular SAS programming challenges due to their complexity (e.g. due to multiple study parts) and mid-study protocol/database changes, interim reporting/transfers, etc.; you will be expected to be flexible and creative in your programming skills.
For senior candidates you will also take on a Lead role for statistical programming tasks and Data Sciences project teams. There are also opportunities to get involved in the training/mentoring of less experienced staff and our continuous improvement program for statistical programming services and procedures.
The successful candidate will have over three years SAS statistical programming in the CRO or pharmaceutical industry, with more experience required for senior roles. Hands on SAS experience in a clinical trial environment is our primary requirement but any experience of the Lead Statistical Programmer role or working on early Phase studies would be an advantage. In addition you should have good organisational and presentation skills and be able to work to deadlines whilst maintaining quality standards. Attention to detail and the ability to multitask are essential. Effective oral and written communication skills are also required as you will be a primary statistical programming point of contact with clients, external data providers and clinical staff.
This role can be based from any of our office locations in Edinburgh, Nottingham or Reading, or the role could be home based (with occasional visits to an office).
Applicants must have the right to work in the UK upon being offered employment.
In return you will receive a competitive salary, a generous benefits package, excellent training and development, as well as an exciting career within a fast paced and dynamic business.
Bank or payment details should not be provided when applying for a job. reed.co.uk is not responsible for any external website content. All applications should be made via the 'Apply now' button.Report this job