JOB ID: EMEA00063
DEPARTMENT: Data Science/Analytics
EMPLOYMENT TYPE: Regular Full-Time
At the heart of QIAGEN’s business is a vision to make improvements in life possible.
We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe.
Our most valuable asset are our employees – more than 5000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us.
There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started.
If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be.
Join us. At QIAGEN, you make a difference every day
- Play a key role in the development of the QIAGEN global statistics department (located in Manchester).
- Be the lead Statistics contact for one or more QIAGEN MDx Development Programmes. Provide expert statistics consultancy, proactively liaising with each of the project teams to ensure appropriate evidence is generated to meet regulatory, scientific and commercial needs.
- Play the lead statistics role in external liaisons (e.g. partners and regulatory bodies).
- Provide statistics technical leadership, giving advice and support to other statisticians, statistical programmers, and scientists. Identify training needs and provide training.
- Design Studies, review study protocols and prepare statistical considerations. Liaise with scientific, regulatory and clinical staff on study design, data processing, analysis and reporting.
- Apply SAS and other statistical software.
- Lead systems development objectives through the development of best practice standards, guidance and SOPs.
- Statistics MSc (or equivalent).
- SAS programming skills, other statistical software desirable.
- Candidates experienced in the application of statistics for R&D and Clinical Research, experience in molecular diagnostics an advantage.
- Works successfully in a team, liaising with colleagues across different departments and countries.
- Able to lead, innovate and take initiative.
- Continuous learning and application of new skills and knowledge.
- An interest in personalized healthcare, biomarker development and molecular diagnostics.