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Site Name:
UK - Hertfordshire - Stevenage, USA - Pennsylvania - Upper Providence Posted Date:
Dec 16 2024
We are a biopharma company focused on uniting science, technology, and talent to get ahead of disease together. By the end of the decade, we aim to positively impact the health of 2.5 billion people as a successful, growing company where people thrive.
Why Research Statistics? We play a key role in GSK's discovery of new medicines, collaborating with outstanding scientists to advance innovative ideas in drug discovery. We design experiments, analyze data, and visualize results for projects that range from small studies with single endpoints to high-dimensional genomic data. Our work is varied and challenging with the common goal of advancing the science of human health.
Our team is part of GSK's Biostatistics function - a large group of statisticians, programmers, and data scientists with the mission to put statistical thinking at the heart of R&D decision-making.
Key Responsibilities
Work with scientists and leaders to identify and define scientific objectives that benefit from statistical approaches and propose implementation strategies.
Examine relevant literature and perform simulations to assess the applicability of statistical methods to challenges in drug discovery.
Craft experiments with clear objectives that address important scientific queries.
Analyze data using established statistical methods and develop novel methods to address important scientific questions.
Clearly communicate results to fellow researchers and managers at all levels.
Why You? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals:
PhD in statistics, biostatistics, or a closely related field with formal statistical training.
1 year experience of proven innovation and technical strength in advanced statistical modelling and/or modern machine learning techniques.
At least 3 years of experience writing code in R or SAS.
Preferred Qualifications: The following skills are not required, just preferred:
Ability to clearly communicate both new and established statistical methods to scientific colleagues in spoken and written English.
Successful statistical consulting experience, working alongside researchers from other fields to devise practical solutions for scientific inquiries.
Skilled in selecting, using, modifying, and developing statistical methods to address complex scientific questions effectively.
Continuous learner, regularly expanding statistical and scientific knowledge.
Experience using at least some of these statistical methods: experimental design, mixed models, Bayesian statistics, linear and nonlinear regression, repeated measures, machine learning algorithms, and high-dimensional data analyses.
Knowledge of or interest in genetics, molecular biology, pathobiology, the process of drug discovery, as well as cellular and tissue-based model systems.
Why GSK? 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.
Our success absolutely depends on our people. We want GSK to be a place where people feel inspired, encouraged, and challenged to be the best they can be. A place where they can keep growing and look after their wellbeing.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Important notice to Employment businesses/ Agencies: GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site.
#J-18808-Ljbffr
Site Name:
UK - Hertfordshire - Stevenage, USA - Pennsylvania - Upper Providence Posted Date:
Dec 16 2024
We are a biopharma company focused on uniting science, technology, and talent to get ahead of disease together. By the end of the decade, we aim to positively impact the health of 2.5 billion people as a successful, growing company where people thrive.
Why Research Statistics? We play a key role in GSK's discovery of new medicines, collaborating with outstanding scientists to advance innovative ideas in drug discovery. We design experiments, analyze data, and visualize results for projects that range from small studies with single endpoints to high-dimensional genomic data. Our work is varied and challenging with the common goal of advancing the science of human health.
Our team is part of GSK's Biostatistics function - a large group of statisticians, programmers, and data scientists with the mission to put statistical thinking at the heart of R&D decision-making.
Key Responsibilities
Work with scientists and leaders to identify and define scientific objectives that benefit from statistical approaches and propose implementation strategies.
Examine relevant literature and perform simulations to assess the applicability of statistical methods to challenges in drug discovery.
Craft experiments with clear objectives that address important scientific queries.
Analyze data using established statistical methods and develop novel methods to address important scientific questions.
Clearly communicate results to fellow researchers and managers at all levels.
Why You? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals:
PhD in statistics, biostatistics, or a closely related field with formal statistical training.
1 year experience of proven innovation and technical strength in advanced statistical modelling and/or modern machine learning techniques.
At least 3 years of experience writing code in R or SAS.
Preferred Qualifications: The following skills are not required, just preferred:
Ability to clearly communicate both new and established statistical methods to scientific colleagues in spoken and written English.
Successful statistical consulting experience, working alongside researchers from other fields to devise practical solutions for scientific inquiries.
Skilled in selecting, using, modifying, and developing statistical methods to address complex scientific questions effectively.
Continuous learner, regularly expanding statistical and scientific knowledge.
Experience using at least some of these statistical methods: experimental design, mixed models, Bayesian statistics, linear and nonlinear regression, repeated measures, machine learning algorithms, and high-dimensional data analyses.
Knowledge of or interest in genetics, molecular biology, pathobiology, the process of drug discovery, as well as cellular and tissue-based model systems.
Why GSK? 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.
Our success absolutely depends on our people. We want GSK to be a place where people feel inspired, encouraged, and challenged to be the best they can be. A place where they can keep growing and look after their wellbeing.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Important notice to Employment businesses/ Agencies: GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site.
#J-18808-Ljbffr
