Jobs at Tfl in United Kingdom

Who we are

We’re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world’s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence.

We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs - in the best possible way.

Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit.

Why Worldwide

We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us!

What Global Programming does at Worldwide

The Worldwide team is an experienced and diverse group of Programmers who collaborate together as one, both via regularly scheduled group meetings to discuss issues, and impromptu one-on-one discussions between colleagues to discuss a particular topic.

As a Statistical Programmer on a project - you will be working with statisticians, sponsors, the wider study team and your own team of programmers, ensuring the data and output delivered for a study meets industry, regulatory submission and quality standards. As a Statistical Programmer at Worldwide, your analytical skills and ability to both program and understand/interpret data are the keys to success, and you will have the opportunity to continually grow your knowledge in SAS and CDISC across all phases and multiple therapy areas.

What you will do

1. Develop, test and execute SAS programs to produce and validate CDISC SDTM and ADaM datasets, tables, figures and listings (TFL).
2. Serve as a programming project lead on a complex study (e.g. adaptive design, integrated safety/efficacy study) to distribute and oversee tasks for the programming team, communicate with internal and external clients, plan and execute delivery, and manage resources and competing project priorities effectively. Ensure budget and scope of project work remain aligned.
3. Perform review and provide guidance on the development of the clinical database specification, data transfer agreement/specification, specification of tables, figures and listings (TFL) shells.
4. Develop and review specification for SDTM datasets and ADaM datasets for safety data, TFL shells and other specifications, e.g. patient profiles, OPS reports.
5. Develop and review electronic data submission package (SDTM annotated CRF, define.xml, Study/Analysis Data Reviewer's Guide) for high complexity studies.

What you will bring to the role

1. The job holder must be computer literate and numerate with a willingness to adapt to various computer systems.
2. Hands-on expert level project statistical programmer experienced in providing programming leadership to projects.
3. Statistical programming skills and knowledge across a broad range of applications together with key competencies in customer focus, delivering on commitments, building strong relationships, communicating and influencing, and embracing innovation and change.
4. It is essential that the job holder possesses strong analytical skills and attentiveness to detail.

Your experience

1. Educated to degree level or equivalent.
2. The jobholder has advanced SAS programming skills with expert knowledge in SAS/Macro, Proc Report and ODS. Good working knowledge in SAS/Graph, Proc SQL, SAS/STAT.
3. Minimum 4 years of previous related experience.

We love knowing that someone is going to have a better life because of the work we do.