Biomarker Statisticians to Statistical Leaders - Stevenage, United Kingdom - GSK

GSK
GSK
Verified Company
Stevenage, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Site Name:
USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage


Posted Date:
Jan


GSK's Non-Clinical and Translational Statistics group plays a vital part at the birth of many prospective medicines and therapies through its work in helping top laboratory and product development teams, from the earliest stages of drug discovery through to the successful launch of new medicines.

Our advanced modelling enables scientists to unravel the mechanisms of human disease, evaluate competing theories and explore potential new treatments using high-dimensional genomic and bioimaging data.


Key Responsibilities

  • Manage the assigned biomarker projects and provide timely support across all phases of drug development pipeline in collaboration with other functional area scientists.
  • Propose and implement optimal and fitforpurpose statistical and computational solutions for various biomarker studies.
  • Identify and implement ways to improve efficiency of biomarker support such as development of tools for automation of data analysis and visualization.
  • Embrace a wide range of classical and modern data analytic and predictive modelling (machine learning) methods and lead the development and evaluation of new methods and algorithms for research topics of greatest need.
  • Significantly contribute to the external scientific community via conference presentations, publications and collaborations.
  • Ensure the statistical robustness of prediction models such that all relevant uncertainty is correctly propagated through such models in order to inform the estimate of riskdischarge for any particular development plan option.
Please take a copy of the Job Description, as this will not be available post closure of the advert.#LI-GSK


_ Why you?_
Basic Qualifications

We are looking for professionals with these required skills to achieve our goals:

  • Master's degree in Statistics or Biostatistics
  • Working experience in pharmaceutical industry
  • Proven experience in a wide range of classical and modern statistical and machine learning methods, with good external reputation via strong publications and conference presentations.
Preferred Qualifications

If you have the following characteristics, it would be a plus:

  • PhD in statistics, computational methods or related field with focus on methods for genomics and related high-dimensional data analysis.
  • Experience in early Drug Discovery
  • Good understanding of nonlinear mixed effects (Bayesian) models, the Pharmacometrics literature, and PK/PD modeling in general. A Bayesian mindset is an advantage.
  • Strong communication skills both verbally and in writing
  • Good collaboration and influencing skills in matrix working environments

_ Why GSK?_
GSK is a place where outstanding people do amazing things. As a science-led global healthcare company, we exist to help people do more, feel better, live longer.

This special purpose - along with our goal of being one of the world's most innovative, best performing and trusted healthcare companies - helps us attract some of the best and brightest minds in the world.


We take pride in providing access to all and continually focus on our opportunity and obligation to do more to improve inclusion and diversity: for our people inside GSK; in the way we do business; and in the communities where we operate.


We want our company to be a place where diversity of people and thought is valued everywhere and where we're all able to be ourselves and feel a sense of belonging.

An inclusive organization where we all feel valued, engaged and supported, knowing that our work makes an important contribution to our mission.

Reinforced by our clear values and expectations, it is part of our DNA. Together we achieve extraordinary things for our patients and consumers, who rely on us each and every day.


GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive.

Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

Our success absolutely depends on our people.

While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive.

We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy.

We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applica
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