Data Scientist - Computational Design (Maternity Replacement)

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The role contributes to the technical execution of Vaccines projects and platforms through Data Science and Computational Design activities. The Data Scientist, Computational Design, integrates and analyzes complex, high dimensional data sets to extract biological knowledge and conclusions relevant for Vaccines R&D. This individual supports different projects in an independent manner, with an understanding on the technical approaches, methods and strategies to drive vaccine and antigen design, reporting directly to the Head of Computational Design, within the Vaccines Discovery Data Science Centre of Excellence. This role ensures advanced data analytics and bioinformatics deliverables for Vaccines R&D projects are at the top of research and industry standards with respect to scientific excellence, quality and timelines.

In this role YOU will..

• Develop and implement computational design methods and workflows for protein, antigen and/or antibody design, to impact multiple properties that are beneficial for vaccine discovery (e.g. protein expression, immunity, stability, solubility, among others).

• Develop data analysis pipelines using combinations of heterogeneous, high dimensional datasets and tools, with a clear understanding of the structural biology context relevant for the antigen candidates of interest.

• Innovate, foster collaboration, promote the data-driven organization, and improve processes, as well as accelerate and improve the work of scientist colleagues by collaborating with and supporting experimental groups to drive vaccine design and improve candidates, and partnering with other Computational Science colleagues to:

  • develop novel, or already implemented computational methods that support and/or enhance Vaccine projects;

• Ensure technical alignment and adherences to best practices of the Computational Design team for multiple projects/platforms,

• Communicate Computational Design guiding principles, activities, and results to internal stakeholders and scientific community, translating complex solutions and analytic approaches into simple, understandable, and effective messages.

Basic Qualifications & Skills:

• Master’s degree in bioinformatics, Computational Chemistry, Computational Biology, Biochemistry, Biophysics or related field

• Previous experience with protein sequence and structure data analysis

• Experience in one or more programming languages (e.g. Python, C/C++)

• Experience with machine and/or deep learning libraries (e.g. scikit-learn, pytorch, etc)

• English proficiency

Preferred Qualification & Skills

• Experience on the application of AI/ML tools for protein design (e.g. LLMs, property prediction/inference, model finetuning, etc.).

• Machine learning, data and knowledge integration for hypothesis generation is preferred, especially to support data-driven decisions on protein design, candidate selection, data formats and organization, and data analysis strategies.

• PhD in Bioinformatics, Computational Chemistry, Computational Biology, Biochemistry, Biophysics or similar

Job posting end date: May 29th, 2024

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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