At GSK, we are poised to transform drug discovery for our patients by unlocking the genetic causes behind disease, allowing people to do more, feel better, and live longer. Our new approach to R&D is focused on science related to manipulating the immune system, guided by data from unique human genetics and functional genomics platforms, to discover novel target-disease links with high confidence. As the output of these genetically inspired, large-scale experiments identify disease targets with higher confidence of translating in the clinic, predictive computational methods are essential to help improve the probability of success of developing new medicines and to accelerate the time needed to design them. To enable that, we have created a world-leading data and computational environment to develop and apply advanced modeling and analytics that exploit GSK’s unique access to organized, impactful data.

We are seeking highly motivated individuals to join our Computational Sciences team, efficiently speeding up the way GSK discovers and develops transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses. These key roles will help set the stage for the company’s future, by working across all of GSK Pharma and Vaccines R&D with our Genomic Sciences, Chemical Biology, Protein & Structural Sciences, Biopharm Discovery and Development, Enzyme Engineering and Biocatalysis, and AI/ML teams to deliver a strategy that informs the most efficient way to deliver the desired pharmacological modulation to affect the specific disease biology. The successful applicants will use computation to enable selection of the highest value and most tractable targets, identify the most progressible and highest quality small and large biotherapeutics, accelerate lead optimization across all modalities, and inform the right clinical plan to deliver impactful medicines to patients.

Key responsibilities:

• Apply computational techniques to guide directed evolution of proteins, by working with experimental groups to drive experimental design and improvement of models via active learning

• Design of high-throughput experimental platforms to enable accurate and generalizable predictive modeling

• Integrate large-scale biophysical data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery

• Predict and evaluate targets for their probability of success to be drugged across any modality

• Develop and apply predictive models for antibody/protein design and developability engineering, utilizing large-scale NGS, patient-derived, and other proprietary in-house and external data sources

• Design and build infrastructure to enable large-scale predictive modeling

• De novo design and multiobjective optimization of tool and therapeutic antibodies and other modalities

• Develop and embed computational methods into visualization packages to enable experimental multi-variant analysis and data-driven decision-making

• Collaborate with external groups to further develop protein engineering computational methods

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD or 3+ years of experience in Computational Chemistry or Biology, Bioinformatics, Physics, Chemistry, or related fields

• Experience in antibody and/or general protein sequence and structural analysis

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

Preferred Qualifications:

• We are looking for professionals with these required skills to achieve our goals:

• Understanding of sequence and structure of antibody repertoires and bioinformatics tools utilized in their analysis

• Experience with high performance computing and/or cloud computing

• Experience developing and applying machine learning (ML) algorithms for biological data

• Demonstrated ability to work in multi-disciplinary matrix teams, displaying excellent interpersonal skills

• Strong organisational and communication skills (both written and oral), with the ability to liaise with scientists and external collaborators at all levels

• Ability to generate conclusion reports, present data in team meetings and participate in writing of abstracts and publications for the scientific community

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. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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