What are the responsibilities and job description for the Principal Statistician (417810 Upper Providence) position at hackajob?
hackajob is collaborating with GSK to connect them with exceptional tech professionals for this role.
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. We use classical statistical methods, Bayesian techniques and modern machine learning algorithms. 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. Our colleagues design and analyze clinical trials, but we focus on laboratory experiments and the re-analysis of randomized and observational data to identify targets, biomarkers, and patient sub-populations. To succeed, our team members need good technical and communication skills and the ability to learn rapidly, to develop practical solutions, and to apply statistical techniques in creative ways. Our staff enjoy solving challenging problems and developing the skills and knowledge together to improve the health of millions of people.
Key Responsibilities
Basic Qualifications & Skills
We are looking for professionals with these required skills to achieve our goals:
The following skills are not required, just preferred:
Uniting science, technology and talent to get ahead of disease together.
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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
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. We use classical statistical methods, Bayesian techniques and modern machine learning algorithms. 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. Our colleagues design and analyze clinical trials, but we focus on laboratory experiments and the re-analysis of randomized and observational data to identify targets, biomarkers, and patient sub-populations. To succeed, our team members need good technical and communication skills and the ability to learn rapidly, to develop practical solutions, and to apply statistical techniques in creative ways. Our staff enjoy solving challenging problems and developing the skills and knowledge together to improve the health of millions of people.
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.
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
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
Uniting science, technology and talent to get ahead of disease together.
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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
Salary : $100,000 - $200,000
