SEC Recruitment

Statistical Programmer II - Europe (Home Based)

£36144.40 - £45180.50 per annum + Bonus & Private Benefits
19 Feb 2021
19 Mar 2021
Catalin Zaharia
Full Time
Contract Type
Experience Level
Experienced (non-manager)
SEC has been appointed to recruit on behalf of their client, an innovative CRO company, an experienced SAS Programmer to join the growing biometrics group.

This role can be home based in various European countries.

Partnering with this company will provide you with a great job security and stability while benefiting from a great flexibility regarding the working hours. If you are looking to challenge yourself and impact international studies, this is the right place for you!

As Statistical Programmer II you will be responsible of all programming tasks related to projects such as macros, outputs, SDTM, ADaM and TFLs and validation of standards of programming tools, etc. You will (co)lead studies on programming side - Quality Checking, Timelines, Client Interaction, Resources - and maintain relationship with sponsors.

The successful candidate will have:
- BSc in Mathematics, Life Sciences, IT or related fields;
- 3 years of SAS programming experience in clinical trials;
- Great knowledge and experience with CDISC standards - ideally both SDTM and ADaM datasets;
- Extensive communication skills and ability to adapt to non-technical audiences;
- Ability to demonstrate teamwork.

This opportunity will suit an experienced individual looking to contribute to the bigger picture and support authorization of innovative products and help lives of million of patients out there. You will have a scientific driven activity where working close with the clinical team in supporting regulatory submissions.

Do not hesitate and get in touch for a confidential chat about this Statistical Programming role, alternatively send your CV to:

Catalin Zaharia
Principal Consultant - Biometrics
SAS Programming, Biostatistics, Clinical Data Management
Tel: +44 (0) 207 255 66 65

#SAS #CDISC #SDTM #ADaM #clinicaltrials #statisticalprogramming #drugdevelopment #TLFs

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