Investigator, Protein Design

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 enabling valuerealizationthrough end-user uptake and measuring impact.

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 with partner functions to generate, validate, and integrate generative AI models for de novo design and multi-objective optimization of biologics, such as antibodies (tool and therapeutics), antigens, peptides, and other modalities.
• Develop and apply predictive models for protein design and develop ability 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 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.

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 analysis
• Experience in one or more programming languages (e.g. Python, C/C++)
• Demonstrated ability to work as team lead or member; ability to work/lead effectively in a matrix environment
• Demonstrated evidence of working across scientific and technical disciplines to deliver impactful solutions that drive project progression

Preferred

Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

• Experience developing or applying modern ML architectures for sequence- or structure-based protein design models (LLMs, diffusion models, flow-matching, GNNs, etc.)
• Experience analyzing protein-protein interactions and surfaces for design
• Experience analyzing antibody repertoires for sequence- and structure-based design
• Experience with molecular simulation 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

Closing Date for Applications – 22nd February 2024 (COB)

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.

Why Us?

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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about…