Investigator, Protein Design and Informatics

WISE Campaign; Stevenage; Hybrid; GBP 45,000 - 85,000; Full time

Job description

As an Investigator in the Protein Design & Informatics (PDI) team, you will focus on developing, integrating, and embedding advanced computational methods and predictive in silico models that accelerate discovery of medicines. Included in the larger Data & Predictive Sciences department, you’ll be working daily with a diverse group of data/ML scientists, cheminformaticians, bioinformaticians, and many others, to impact from target discovery to the clinic - all stages of a therapeutic project.

Data & Predictive Sciences will only be successful by working in close collaboration with Research Technologies, Therapy Areas, GSK Tech, AIML, Vaccines, Risk & Compliance, and across lines within the function itself, and by 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.

Responsibilities:

• Work with partner functions to generate, validate, and integrate sequence-/structure-based 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.
• 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 experimental lines.
• Collaborate with external groups to further develop protein engineering computational methods.

Basic Qualifications:

• 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, C/C++)
• Experience working across scientific and technical disciplines to deliver impactful solutions that drive project progression.

Preferred Qualifications:

• Experience developing or applying modern ML architectures for sequence- or structure-based protein design models (LLMs, diffusion models, flow-matching, GNNs, etc.)
• Experience predicting and analyzing protein-protein interactions and surfaces for design
• Experience analyzing antibody repertoires for sequence- and structure-based design
• Experience predicting structures of RNA or nucleic acid-protein complexes
• Experience with molecular simulation techniques
• Demonstrated ability to work as team lead or member; ability to work/lead effectively in a matrix environment
• 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

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.