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Principal Biostatistician FSP - HTA at Cytel

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Biostatistical Analysis, HTA Activities, SAS Programming, R Programming, CDISC, Clinical Trial Experience, Machine Learning, Deep Learning, Clinical Development Plans, Statistical Methods

Industry

Pharmaceutical Manufacturing

Description

Who Are You? An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same. Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview: Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use.

Responsibilities

Lead Phase I-IV clinical studies and provide statistical support for clinical development plans and protocols. Formulate integrated analytical approaches using statistical methods and machine learning to discover actionable insights.