What are the responsibilities and job description for the Computational Biologist (PA or NC, USA) position at GSK?
Posted Date: Sep 22 2022
Computational Biologist - Translational
We are seeking motivated computational biologists to join our dynamic and expanding team. The candidates will focus on analysis and integration of diverse and complex genomic data to impact translation of our targets to the clinic. Your work will have application across our pipeline, from multi-omic characterization of disease endophenotypes to biomarker discovery and patient stratification.
The successful candidates will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and external collaborators to advance drug discovery and clinical development. Additionally, you will be encouraged and supported to continue to build your scientific profile through presentations, development programs and peer-reviewed publications.
Key responsibilities:
This role will provide YOU the opportunity to progress YOUR career, these responsibilities include some of the following:
- Deliver innovative analysis and integration of genomic data with tangible impact on the GSK pipeline.
- Work within cross-functional project teams with GSK scientists and external collaborators, with an emphasis on immunology, neurodegeneration or metabolic disease.
- Effectively communicate analysis findings, with expert interpretation, to project teams.
Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- PhD or equivalent experience in computational biology, biomedical/biological sciences, biomedical statistics, computational sciences, bioinformatics or machine learning.
- Hands-on experience in a programming language (such as R or Python) for complex data analysis.
- Exposure and understanding of analytical and statistical methods relevant to large scale analysis of biological data sets.
Preferred Qualifications:
- Experience in the analysis and integration of multi-omics data, including at the single cell level.
- Experience in the analysis of genomic data linked to clinical phenotypes or measures for reverse translation and/or patient stratification.
- Experience in predictive biomarker analytics.
- Experience in analysing data sets related to immunology, neurodegeneration or metabolic disease.
- Skills to collect, integrate, mine and analyse complex biological data and translate them into testable hypotheses.
- Experience in communicating complex scientific concepts to diverse audiences.
- Publication record in peer reviewed journals.
- Ability to work effectively within multidisciplinary teams.
R&D at GSK
We want to find new medicines and vaccines in ways that are faster, more effective and more predictable.
We start with what matters most, the science. Our approach to R&D focuses on science related to the immune system, the use of human genetics, and advanced technologies. Our pipeline currently comprises of more than 60 vaccines and medicines across four core therapeutic areas including oncology, infectious diseases, immunology / respiratory and HIV. We have pivotal study starts in 2021 for our RSV vaccine in older adults, COVID-19 assets, long-acting anti-IL-5 antagonist, daprodustat, and dostarlimab. In oncology, momentum is building with 15 potential medicines in trials, including nine immuno-oncology and three cell therapies.
We give our scientists the freedom to own the process. Our scientists often use genetic data to help us understand the root cause of disease. We steer the research where the data shows we can do most good. If a project doesn’t pan out, we take what we’ve learned and apply it elsewhere.
Technology can help us find patterns in genetic data better and faster. We’re using machine learning to unlock the potential of complex genetic data with new levels of speed, precision, and scale. And we’re one of the first biopharmaceutical companies to have created an in-house AI lab dedicated to drug development.
Even with the knowledge, tools, and resources within GSK, there’s always a benefit to new perspectives. That's why we're increasingly partnering with and hiring outstanding people from cutting edge fields like tech, data-science and academia. In 2018, GSK formed an exclusive, highly innovative collaboration with 23andMe, the world's leading consumer genetics and research company. Other partners include: the Altius Institute; the UK Biobank, which is generating anonymized genetic sequence data from 500,000 volunteers; and the Open Targets Consortium, the mindset and approach of smaller, more agile start-ups.
Find out more: Our approach to R&D.
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.
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