The GSK Computational Biology Department in Functional Genomics is seeking a self-motivated individual to join our dynamic and multidisciplinary team to support GSK’s goal. Your primary focus as a Computational Biologist would be to identify, develop, implement and use computational biology methods to impact drug discovery and development. Applicants should have a strong analytical skills and background in any of the following; 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.
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.
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 OR MS in a related field with 10 years of related experience.
Experience in a programming language (such as R, Python or Perl) for complex data analysis.
Knowledge of fundamental concepts in biology and statistics.
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.
Ability to work effectively in multidisciplinary teams.
Functional genomics: Gene editing, CRISPR in phenotypic screens with OMIC/imaging readouts.
Publication record in peer reviewed journals.
Experience in analyzing data sets related to oncology or/and immunology.
GSK aims to improve the number of successful late stage clinical trials for innovative medicines, by both identifying and advancing drug targets that have strong evidence of a causal role in disease biology. The Human Genetics team leverages major scientific and technological advances, including investment in biobanks linked to large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships, in order to identify the best targets and to continue evaluation of targets through their life in the pipeline.
We are seeking motivated, innovative, skilled and experienced Individuals 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.