We are seeking motivated, innovative, skilled and enthusiastic computational biology analysts to join our expanding team within the Human Genetics department. Candidates should be keen to apply state of the art analysis methods to drive 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 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. 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:
• Developing and implementing computational approaches to translate human genetic evidence to inform target selection and validation decisions across a range of disease areas.
• Participate in cross-functional project teams with GSK scientists and external collaborators.
• Find creative solutions and work with agility to address challenging scientific questions.
• Contribute to the developing science of drug target identification and validation, providing scientific expertise within Human Genetics and across the Research organisation.
• Desire to lead projects while working independently and in a collaborative multidisciplinary team
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 and work experience in computational biology, bioinformatics, computational sciences, machine learning or biomedical/biological sciences.
• Strong coding skills in Python and/or R and a good working knowledge of common bioinformatics databases, resources and tools.
• 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.
• Demonstrated ability to work effectively within and lead multidisciplinary teams.
• Strong verbal and written communication skills to communicate complex concepts and computational analyses clearly to influence diverse audiences.
• Demonstrated experience in the analysis and integration of multi-omics data (e.g. transcriptomics, regulatory genomics, proteomics) for disease research.
• Knowledge and experience of the analysis of single cell genomic data.
• Knowledge of pathway and network methods for the analysis and interpretation of genetic or genomic data.
• Knowledge of machine learning approaches and their application to genetics/genomics.
• Publication record in peer reviewed journals.
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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