Principle Scientist Cheminformatics

At GSK we have bold ambitions for patients aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines combining our understanding of the immune system with cutting-edge technology to transform peoples lives. GSK fosters a culture ambitious for patients accountable for impact and committed to doing the right thing making sure that we focus our efforts on accelerating significant assets that meet patients needs and have the highest probability of success. Were uniting science technology and talent to get ahead of disease together.
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Our approach to R&D

For candidates seeking to be located at our Stevenage site this role will temporarily be based at Stevenage. However the Company plans to relocate its offices to Cambridge UK. The location of this role will therefore subsequently change to Cambridge UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.

Do you share a desire to advance scientific knowledge and harness the revolution in data automation and predictive sciences to deliver measurable impacts on the success and progression of GSKs medicine discovery portfolio

The Data Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation curation analysis and prediction to increase the Probability of Technical and Regulatory Success (PTRS) of assets and unlock upper quartile ambitions.

Collaboration is key as DAPS will only be successful by working in close partnership with matrix teams within Research Technologies functions Research Units (all therapeutic areas) R&D Digital & Tech (RDDT) R&D AIML and Risk & Compliance.

We are seeking a Principal Scientist within the Cheminformatics (CIX) group. You will leverage large proprietary internal datasets to develop integrate and embed advanced computational methods and predictive in silico models that accelerate the discovery of medicines. With a focus on machine learning cheminformatics and computational chemistry methodologies you will help drive the development and delivery of key new capabilities for our internal BRADSHAW automated design platform.

In this role you will have the opportunity to:

• Build validate and deploy machine learning models spanning cheminformatics computational chemistry and quantum mechanics and inform go/no-go decisions across drug discovery programmes.

• Prototype exploratory agent-driven workflows that combine LLM-based reasoning with cheminformatics tools predictive models and experimental data to accelerate hypothesis generation literature and data triage and iterative designmaketestanalyse cycles.

• Integrate with drug discovery programme teams including DMPK Toxicology and Safety Pharmacology to embed predictive models directly into decision-making and translate computational outputs into guidance that is accessible to non-experts.

• Contribute to and validate production-quality code implementing state-of-the-art cheminformatics computational chemistry and quantum chemistry methods that accelerate and improve decision-making on drug discovery programmes.

• Prepare and present results of key validation experiments details of capability builds and developments on active drug discovery projects to internal and external groups in a way that is both informative and accessible to the non-subject matter expert.

• Work with others within a multidisciplinary matrix team that spans different organizations and geographies to execute on joint objectives

Why you

Basic Qualifications & Skills:

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

• PhD or MSc in Cheminformatics Computational Chemistry Informatics Life Sciences or equivalent with a strong Chemistry foundation.

• Expertise to programmatically collect combine mine and analyse complex biological and chemical data to build predictive models.

• Evidence of a broad knowledge of computational sciences including knowledge of machine learning computational chemistry and cheminformatics methods applied to drug design across differing modalities.

• Knowledge of related disciplines (medicinal chemistry HT screening analytical chemistry systems biology DMPK Tox Imaging) to enable multidisciplinary approaches to be identified and integrated into a cohesive project plan is preferred.

• Evidence of developing and utilizing computer programming and scripting languages such as Python Java C/C R with knowledge of basic software development practices.

• Expertise with chemical toolkits such as ChemAxon RDkit and scientific pipelining tools such as Pipeline Pilot KNIME.

• Evidence of strong critical thinking skills problem-solving & high learning agility.

• Excellent written and oral communication skills and the ability to interact effectively with scientists in other disciplines with a positive collegial collaborative attitude.

• Demonstrated ability to work as contributing team member and ability to participate in a matrixed team environment.

Preferred Qualifications & Skills:

Please note the following skills are not necessary but having at least one of the below is preferred. If you do not have any of them please still apply:

• Knowledge of and experience applying DNN to drug discovery including de-novo molecular generation reaction and retrosynthetic prediction property prediction

• Experience applying modern experimental design and acquisition strategies to library design and high throughput chemistry including methods such as Bayesian optimisation

• Experience with Quantum Mechanical methods (e.g. DFT QM/MM) to elucidate and predict reaction mechanisms and reactivity that pure data-driven models struggle to capture.

• Experience building or using agentic AI / LLM-orchestrated workflows tool use multi-step reasoning or autonomous/semi-autonomous pipelines for scientific discovery.

• Experience working with 3D protein-ligand methods including structure-based design virtual screening molecular docking molecular dynamics free energy perturbation

• Experience utilising software development tooling across HPC and Cloud including GitHub DevOps automation and Containerisation

• Experience applying cheminformatics & predictive modelling methods to project support

Please take a copy of the Job Description as this will not be available post closure of the advert.
When applying for this role please use the cover letter of the online application or your CV to describe how you meet the competencies for this role as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

Skills

Why GSK

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

GSK is a global biopharma company with a purpose to unite science technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade as a successful growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale.

People and patients around the world count on the medicines and vaccines we make so were committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients accountable for impact and doing the right thing is the foundation for how together we deliver for patients shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race color religion sex (including pregnancy gender identity and sexual orientation) parental status national origin age disability genetic information (including family medical history) military service or any basis prohibited under federal state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you we encourage you to explore with our hiring team what the opportunities are.

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