Statistical Programmer II/III
UK ~ Homebased
UK ~ Nottingham
Quotient Sciences is a drug development and manufacturing accelerator providing integrated programs and tailored services across the entire development pathway. Cutting through silos across a range of drug development capabilities, we help biotech and pharma customers save precious time and money in getting drugs to patients.
As a growing and successful business, we employ more than 1,300 talented individuals globally, located at state-of-the-art development, manufacturing, clinical and data sciences facilities in the UK and USA.
Science, Agility and Culture are the core components that define Quotient Sciences, enabling us to do what we do in the way that we do it. People join Quotient Sciences because we are a respected member of the drug development community, driven by an unswerving belief that ideas need to become solutions, and molecules need to become cures, fast. Because humanity needs solutions, fast.
Data Sciences at Quotient Sciences comprises six departments (including Statistical Programming) and over 100 staff and provides an expert service in the data management, analysis and reporting of early phase clinical studies.
Due to our continued growth and success, we are seeking an experienced statistical programmer II/III 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 therefore 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 the following experience:
- Over two years’ experience of SAS statistical programming in the CRO or pharmaceutical industry (more experience is required for senior roles)
- Hands on SAS experience and define.xml 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.
The role can be based in our Edinburgh or Nottingham offices (with some home working) or can be fully home based with occasional trips to an office. This is a full-time position or can be part-time (equivalent hours for 4 or 4.5 days a week).
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.
Our Commitment to Diversity & Inclusion
Quotient Sciences are advocates for positive change and conscious inclusion.
We strive to create a diverse Quotient family by remaining committed to the development of our culture, equality, mindset, diversity & inclusion in the workplace.
As a global employer, we recognise the value in having an organisation that is a true reflection and representation of our society today. All applicants welcome.