Statistician - KTP Associate

£51299 - £58723

London, Greater London - 36 months

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Job description

We are seeking to appoint a skilled statistician for the role of Knowledge Transfer Partnership (KTP) Associate, to take a leading role in a recently-funded Innovate UK Knowledge Transfer Partnership (https://www.ktp-uk.org/) between the London School of Hygiene & Tropical Medicine and the global biopharmaceutical company GSK.

In this 3-year KTP, the Partnership team will work collaboratively to demonstrate, implement and scale the use of emulated trials in the drug development process within GSK. Emulated trials use available data to estimate effects of treatments, and this project aims to establish their potential for helping to improve the design of future clinical trials and to producing regulatory-grade evidence of treatment benefit, thereby speeding up patient access to effective drugs.

The KTP Associate will lead this project to establish the integration of trial emulation methodologies into GSK’s drug development processes. The role requires a proactive individual with excellent leadership, communication and influencing skills. They will be responsible for developing and implementing approaches to the use of trial emulation in clinical trial design; for developing and delivering materials for training in trial emulation within GSK; for generating documentation and publications; and for advocating for trial emulation methodology with key stakeholders within GSK as well as with regulatory bodies

The KTP Associate will be based at GSK’s Statistics and Data Science Innovation Hub in London (working with Drs Aris Perperoglou and Adrian Mander), and will work closely with Profs Jonathan Bartlett and Ruth Keogh from LSHTM’s Medical Statistics Department.

Project description

This project will employ recent statistical innovations and introduce ‘trial emulation’ into the drug development process within pharmaceutical industry leader GSK to help design future research and accelerate access to drugs. Emulated trials use available data enabling faster exploration of hypotheses for new treatments without the need for a new clinical trial.

About the business

https://www.gsk.com/en-gb/

Pharmaceutical industry

Statistician

PhD in biostatistics, medical statistics, data science or a closely related area

19 August 2024

8 September 2024

EPH-MS-2024-11


We are seeking to appoint a skilled statistician for the role of Knowledge Transfer Partnership (KTP) Associate, to take a leading role in a recently-funded Innovate UK Knowledge Transfer Partnership (https://www.ktp-uk.org/) between the London School of Hygiene & Tropical Medicine and the global biopharmaceutical company GSK.

In this 3-year KTP, the Partnership team will work collaboratively to demonstrate, implement and scale the use of emulated trials in the drug development process within GSK. Emulated trials use available data to estimate effects of treatments, and this project aims to establish their potential for helping to improve the design of future clinical trials and to producing regulatory-grade evidence of treatment benefit, thereby speeding up patient access to effective drugs.

The KTP Associate will lead this project to establish the integration of trial emulation methodologies into GSK’s drug development processes. The role requires a proactive individual with excellent leadership, communication and influencing skills. They will be responsible for developing and implementing approaches to the use of trial emulation in clinical trial design; for developing and delivering materials for training in trial emulation within GSK; for generating documentation and publications; and for advocating for trial emulation methodology with key stakeholders within GSK as well as with regulatory bodies

The KTP Associate will be based at GSK’s Statistics and Data Science Innovation Hub in London (working with Drs Aris Perperoglou and Adrian Mander), and will work closely with Profs Jonathan Bartlett and Ruth Keogh from LSHTM’s Medical Statistics Department.