Associate Director/Scientific Leader, Protein Design and Informatics

As an Associate Director/ Scientific Leader 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 continuousimprovement 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.

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 with 3+ years of industry experience

• 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

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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 we're 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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.

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