We are seeking a highly motivated individual to join our Molecular Design team in Molecular Modalities Discovery. At GSK, we aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses. By applying these computational strategies, we will shape the company’s future by working across all of GSK’s Pharma R&D teams to deliver a strategy that informs the most efficient way to deliver novel therapeutic modalities through computational design and achieve GSK’s therapeutic requirements for a clinically differentiable medicine. The successful applicant will collaborate with preclinical research and development business partners to impact the pipeline from target identification, modality selection, and molecule design to ultimately identify clinical candidate therapeutics that will greatly improve and impact the lives of the patients we serve.

Key responsibilities:

• Collaborate with experimental groups to drive compound design and improve models using structure-based drug design, QSAR modeling, QM methods, and methods of computationally modeling macromolecular systems.

• Work with biology team members to assimilate data from experiments, optimize those experiments and integrate that data into compound design.

• Predict and evaluate targets for their probability of success to be drugged across various modalities including small molecules, oligonucleotides, protein degraders and antibody drug conjugates.

• De novo design and multi-objective optimization of tool compounds and target specific medicines

• Partner with multidisciplinary computational groups to develop and embed computational methods in visualization packages to enable experimental multi-variate analysis and data-driven decision-making

• Collaborate with external groups to further develop computational methods to enhance our internal compound design and synthesis

Why you? 

Basic Qualifications:

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

• MS or PhD or equivalent in Computational Chemistry, Cheminformatics, Physics, Biophysics or Chemistry
• 5+ years industry experience
• Scientific contributions documented with publications, presentations, and/or patents
• Experience in molecular modeling, protein structure analysis, and/or small molecule optimization
• Experience working in a Linux/Unix environment
• Experience in one or more scripting languages (e.g. Python, C/C++)

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Strong organizational and communication skills (both written and oral), with the ability to liaise and communicate complex computational procedures and outcomes with scientists and external collaborators
• Knowledge of the drug discovery process, for example: medicinal chemistry, toxicology, DMPK, and/or screening data analysis
• Present data in project team meetings and participate in the writing of abstracts and publications
• Independently review and appraise scientific literature
• Strong knowledge of chemical, protein and RNA/DNA structure
• Knowledge of cheminformatics and QSAR methods
• Lead multi-disciplinary matrix teams to address key goals, exhibiting excellent interpersonal skills
• Experience generating/applying machine learning in QSAR and other chemo-centric predictive models 

#LI-GSK

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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