Staff Scientist, Biostatistics Projects

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life – enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.

We are currently looking for a Staff Scientist to join our Biostatistics team. This role can be based remotely from anywhere in EMEA.

To be successful in this role, you will be a statistical leader in the cross-functional development team of one compound/indication, and demonstrate statistical expertise to the development strategy, decision making and interpretation of the data generated through the clinical development program, embracing excellence and innovation among quantitative methods.

As a Staff Scientist working within a Global team, you will closely collaborate with program partners and stakeholders to deliver on-time the statistical deliverables for all clinical trials and/or HA submissions of one compound/indication. You will report to a disease area team leader, within the Biostatistics and Statistical Modelling organisation and carry out functional responsibilities in accordance with applicable company guidelines and regulatory requirements.

Desired Skills, Qualifications and Experience:

1. Master or doctorate (Ph.D.) degree in Statistics or related field with a minimum of 6 years experience (which may include doctoral research in field of biostatistics)
2. Expertise in drug development in a regulatory environment, with a demonstrated track record of advanced knowledge of biostatistics and strong command of its application to clinical trials
3. Experience in clinical trial design and scenario-planning
4. Extensive experience in the Pharma or Biotech environment
5. Demonstrates ability to plan, supervise, implement and monitor the statistical processes for multiple clinical trials
6. Expertise in Bayesian statistics
7. Proficient in statistical software (SAS and/or R)
8. Able to collaborate with program partners and stakeholders to deliver on the statistical deliverables for one or more clinical trials
9. Clearly explain complex statistical concepts in written and spoken English and not afraid to contribute and speak up when necessary
10. Team-player with focused attitude
11. Able to work autonomously as part of a cross-disciplinary team in a dynamic surrounding of a fast growing biotech company with challenging timelines

What we offer:

• Member of a cross-disciplinary team involved in clinical development of therapeutic antibodies

We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!

Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values – Integrity, Intensity, Innovation and Involvement – working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.

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