Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, USA - Massachusetts - Cambridge
Posted Date: Apr 17 2025
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.
Why you?
Basic Qualifications
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, C/C++)
* Experience working across scientific and technical disciplines to deliver impactful solutions that drive project progression.
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
* 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
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