Computational Biologist

GSK

Upper Providence, PA, United States

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.

Why you?
Basic Qualifications:
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.

Preferred Qualifications:
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.

Why GSK?
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.

Please apply via recruiter’s website.

Quote Reference: 198958

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