The Computational Biology Department supports Drug Discovery and Development at GSK Pharmaceuticals R&D through the integrative analysis of internal and external biomedical data. Our analysis competencies are quite diverse and include target identification and validation, genetics, pathways and networks, disease indications, text mining, molecular evolution, gene expression, microbiome/host pathogen analysis, drug repositioning and machine learning. We contribute to multiple phases of the drug development pipeline and our work results in developing new medicines for important diseases of unmet medical need.
Your primary role as a Computational Biologist will be to identify, develop, implement and use computational biology methods to impact drug discovery and development. Applicants should have a strong background in bioinformatics, computational biology, computer science, machine learning, artificial intelligence, and/or genomics, combined with knowledge of biology. You should be comfortable working in a dynamic and highly collaborative environment, and you will be expected to communicate complex informatics principles, methods, analyses and results to scientists from diverse backgrounds. Furthermore, you will be encouraged to develop and advance your computational biology skills as well as your internal and external scientific profile through presentations and peer-reviewed publications.
We are looking for professionals with these required skills to achieve our goals:
PhD in Computational biology, bioinformatics, computational sciences, machine learning, artificial intelligence, or biomedical/biological sciences.
Experience in a programming language (such as R, Python or Perl) for complex data analysis.
If you have the following characteristics, it would be a plus:
Knowledge of genome-wide genetic, genomic, pathway and network methods.
Skills to collect, integrate, mine and analyze complex biological data and translate them into testable hypotheses.
Knowledge of and experience with common bioinformatics databases, resources and tools.
Knowledge of the drug discovery and development process.
Demonstrated experience in processing multiple large scale genomic and genetic platforms, such as transcriptomic, proteomic or Next Generation sequencing data, including understanding of pathway/network analyses.
Statistical analysis skills
Strong written and oral communication skills.
Ability to work effectively in multidisciplinary teams.
Publication record in peer reviewed journals.
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
Operating at pace and agile decision-making – using evidence and applying judgement to balance pace, rigour and risk.
Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
Continuously looking for opportunities to learn, build skills and share learning.
Sustaining energy and well-being.
Building strong relationships and collaboration, honest and open conversations.
Budgeting and cost-consciousness.