Research Associate

3 months ago


University of York, United Kingdom University of York Full time

**Department**:
The Department of Chemistry is one of the most successful departments at York, renowned internationally for our research. We strive to provide a working environment that allows all staff and students to contribute fully, flourish, and excel. We are proud of our Athena Swan Gold Award.

**Role**:
The AlphaFold software for protein model prediction has revolutionised workflows in structural biology. However, while high-accuracy models are now available for most human proteins of medical relevance, up to 50% of those proteins are expected to be glycosylated - a modification whose structure AlphaFold does not predict. Protein glycosylation is greatly important, with implications for protein folding and molecular recognition including, as evidenced by the spike glycoprotein of SARS-CoV-2, viral infection.

In collaboration with other scientists, we have extended the Privateer software to interactively build missing glycosylation onto precalculated AlphaFold models. In parallel, we have developed analyses that allow us to get a clear picture of glycans and their interactions, including H-bonds and XH-Pi interactions. We expect that these methods will enable us to, based on existing glycobiological knowledge, extend the Privateer software to automatically complete AlphaFold models with crucial missing glycosylation components. We are seeking a person with an interest in both biology and coding, who can collaborate with others in a very diverse team with a mission to further our knowledge of glycobiology and seize the opportunities presented by a deeper understanding of it.

Main duties and responsibilities:

- To develop and extend the Privateer software to complete AlphaFold models with the missing glycan components.
- To further our existing collaborations with CCP4, CCP-EM, PDB-REDO, the Protein Data Bank and the AlphaFold Protein Structure Database.

**Skills, Experience & Qualification needed**:

- First degree and PhD in Chemistry, Biochemistry, Physics, Biology or Computer Science or equivalent experience [Essential].
- Demonstrable experience of C, C++ or Python programming languages [Essential].
- Ability to integrate and work in a flat-hierarchy, culturally diverse team. Willingness to work proactively and with everybody [Essential].
- Knowledge of a range of research techniques and methodologies to engage in high quality research.
- Highly developed communication skills, attention to detail and commitment to high quality; ability to write up research work for publication and competency at presenting at conferences.
- Evidenced ability to develop research objectives, plan and prioritise work, and conduct individual and collaborative research.
- Commitment to personal development and an understanding of equality, diversity and inclusion issues.

**Interview date**:September - date to be confirmed

The University strives to be diverse and inclusive - a place where we can ALL be ourselves.

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork


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