Protein Engineer

Protein Engineer (3D Protein Structures)

Based: Remote  

We are seeking a highly skilled and motivated Protein Engineers with expertise in 3D Protein Structures to join an impressive start-up Biotech company. This role is fully remote, my client is keen to reach the best talent across Europe. You will work with a diverse team of Machine Learning experts and Bioinformaticians to improve the design and discovery of novel proteins. You will also collaborate with cross-functional teams to understand the technical requirements of protein engineering projects and provide solutions using cutting-edge machine learning techniques.

Responsibilities:

• Develop and maintain quantitative models for pathogen-host receptor and pathogen-antibody binding predictions.
• Develop and apply analysis methods that predict the behaviour of viral surface proteins based on their structure.
• Frameworks for evaluating the presence or absence of protein structural changes brought on by small sequence differences
• Write summaries of your study and findings in advance of presenting them in reports and presentations to coworkers and outside colleagues.

Background:

• A degree in computational biology, structural biology, machine learning, or a related discipline (with a concentration on protein structure); or equivalent professional experience.
• Vast experience in analysing protein structures using computational methods based on physics, machine learning, or other techniques, notably for docking or related applications.
• Understanding of how to find structural data on proteins in open databases like PDB. Knowledge of three-dimensional protein structures
• Linux expertise and a desire to learn about common software management tools, such as git, cloud computing, etc.
• The ability to work both independently and collaboratively on a range of scientific and technical tasks; exceptional written and verbal communication skills in English (the company's working language); and a background in technology.

Bonus:

• Experience with machine learning frameworks (such as TensorFlow, PyTorch, scikit-learn, Orange, etc.), particularly their use for denoising cryoEM images or related applications.
• Knowledge of protein structures in the context of virology, immunology, or cancer.
• Proficiency in comparative and phylogenetic protein-level sequence analysis.

Following your application Filipa Englefield, a specialist AI recruiter will discuss the opportunity with you in detail. She will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.

This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Filipa Englefield for further information

Filipa Englefield

Recruitment consultant – Barrington James

Email: fenglefield@Barringtonjames.com