As Principal Scientist, in the Protein Design and Informatics (PDI) team, you will focus on developing, integrating, and embedding bleeding edge computational methods and predictive in silico models that drive the discovery of new medicines and vaccines. Included in the larger Data, Automation, and Predictive Sciences (DAPS) department, we have an exciting initiative aimed at researching and implementing new methods for the automation of the entire Design-Make-Test-Analyze cycle, impacting target discovery to the clinic - all stages of a therapeutic project.

You’ll have the opportunity to work in close partnership with many departments across GSK, developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on creating medicines for patients.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

In this role you will

Work to generate, validate, and integrate multimodal generative AIML models for the de novo design and multi-objective optimization of tool and therapeutic biologics, such as antibodies, antigens, peptides, ADCs, and oligonucleotides.
Build and exploit agent-orchestrated, integrated Design-Make-Test cycles with automated experimental platforms generating quality data at scale needed for project-specific and foundational models.
Innovate, develop, and apply predictive models for protein design and developability engineering, utilizing large-scale NGS, patient-derived, and other proprietary in-house and external data sources.
Identify and advocate for the opportunities afforded by scientific computation and platform automation and champion a “predict-first” culture by maximizing use of predictive technology in therapeutic project plans.
Collaborate with external groups to further develop protein engineering computational methods.

Why you?

Basic Qualifications & Skills:

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

PhD or equivalent in Bioinformatics, Physics, Chemistry, Computer Science, Structural Biology, or related fields.
Experience in protein structural or sequence analysis
Experience in one or more programming languages (e.g. Python)
Prior experience working as team lead or member in a matrix environment
Have experience working across scientific and technical disciplines to deliver impactful solutions that drive project progression

Preferred Qualifications & Skills:

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

Experience developing or applying modern ML architectures for protein design models (LLMs, diffusion models, flow-matching, Bayesian Optimization, GNNs, etc.)
Experience designing de novo binders for specified targets and epitopes
Experience with cloud engineering production-ready robust and scalable scientific workflows
Experience building and deploying agentic workflows
Experience analyzing NGS-derived antibody repertoires for sequence- and structure-based design
Experience predicting structures of RNA or nucleic acid-protein complexes
Experience with molecular simulation and conformational analysis techniques
Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change
Ability to generate conclusion reports, present data in team meetings and participate in writing of abstracts and publications for the scientific community

#LI-GSK

The annual base salary for new hires in this position ranges from $121,275 to $202,125 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

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 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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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.

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