We are seeking a motivated, innovative, skilled and experienced computational biologist to join our expanding team within the Human Genetics department. Candidates should be keen to drive and apply state of the art analysis methods to inform decision making across the GSK pipeline, integrating diverse and complex data types to translate genetic signals into innovative new medicines for patients with unmet medical need.
At the core of GSKs R&D approach is the identification of new medicines by focusing on ways to modulate the immune system, leveraging the vast amounts of human genetic data now being generated and applying cutting edge technologies in functional genomics and machine learning.
Within the Human Genetics team, we leverage scientific and technological advances, including investment in biobanks linked to large-scale human health databases, cutting-edge informatics platforms and integration of biological pathway and functional genomics data to identify novel targets with a high degree of human genetic validation. We continue to evaluate these targets throughout their life in the drug discovery and development pipeline, using genetics and genomics to identify the patients that are most likely to benefit and biomarkers to select these patients and assess efficacy.
The successful candidate will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and external collaborators to advance drug discovery and clinical development This field-leading research addresses important drug discovery and development challenges, directly impacts GSK’s R&D pipeline and leads to publications in top scientific journals.
Key Responsibilities include, but are not limited to:
• Drive novel computational approaches to translate human genetic evidence to inform target selection and validation decisions across a range of disease areas.
• Shape the developing science of drug target identification and validation by providing scientific leadership to the Research organisation and beyond.
• Engage with cross-functional project teams and external collaborators to drive innovative use of genetic/genomic data and analyses.
• Lead and deliver key projects, prioritise scientific inquiries and balance resourcing, aligned to the Human Genetics and GSK R&D scientific strategy.
Please use your covering letter to highlight how you fit the applicant profile and meet the skills and competencies for the role. Your covering letter, along with your CV, will be used to assess your application.
Closing date: 1st September 2019
When applying for this role, please use the ‘cover letter’ of the on-line application to describe how you meet the competencies required for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process.
If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.
Thank you for your interest in this opportunity.
Why You?Basic qualifications:
• PhD in computational biology, bioinformatics, computational sciences, machine learning or biomedical/biological sciences, plus 6+ years of experience.
• Demonstrated experience leading computational biology/bioinformatics groups focused on target identification, genomic data analytics or translational bioinformatics, preferably in the context of drug discovery.
• Demonstrated experience of building and working in collaborative scientific projects.
• Demonstrated ability to lead multidisciplinary teams and develop junior scientists.
• Strong verbal and written communication skills to communicate complex concepts and computational analyses clearly to influence diverse audiences.
• Sound understanding of statistics and biological concepts, coupled with data science skills to collect, integrate, mine and analyse complex biological data and translate them into testable hypotheses.
• Expertise in a programming language (such as R or Python) and a good working knowledge of common bioinformatics databases, resources and tools.
• Expert knowledge of the analysis and integration of multi-omics data (e.g. transcriptomics, regulatory genomics, proteomics) for disease research.
• Expert knowledge of pathway and network methods for the analysis and interpretation of genome-wide genetic or genomic data.
• Knowledge and experience of the analysis of single cell genomic data.
• Knowledge of machine learning approaches and their application to genetics/genomics.
• Strong publication record in peer reviewed journals
• Knowledge of the drug discovery and development process.
At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products. We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.
You may apply for this position online by selecting the Apply now button.
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