Computational Biologist: Protein Design for Green Recycling

Epoch Biodesign; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A cutting-edge biotechnology startup in the UK is seeking a Computational Biologist to support enzyme design and screening cycles. The role involves developing computational pipelines, analyzing high-throughput data, and maintaining documentation. Ideal candidates will have a PhD in biochemistry or a related field, strong Python skills, and meaningful laboratory experience. The company offers substantial benefits, including generous holiday allowances and share options, while working to make plastics recyclable and reducing carbon emissions.

Benefits

30 days paid holiday

EMI Share Options

Non-contributory pension

Private medical insurance

Group Income Protection

Onsite gym

Flexible working hours

Qualifications

• PhD or equivalent research experience in biochemistry or a related field.
• Hands-on laboratory experience relevant to protein/enzyme engineering.
• Strong knowledge of Python and common scientific libraries.

Responsibilities

• Develop and maintain computational pipelines for protein design.
• Analyse high-throughput screening data for experimental decision-making.
• Prototype analyses and tools, transitioning to production code.

Skills

Computational protein design

Data analysis

Laboratory experience

Python programming

Protein engineering

Education

PhD in relevant field

Tools

PyMOL

Rosetta

NumPy

Pandas

Job description

A cutting-edge biotechnology startup in the UK is seeking a Computational Biologist to support enzyme design and screening cycles. The role involves developing computational pipelines, analyzing high-throughput data, and maintaining documentation. Ideal candidates will have a PhD in biochemistry or a related field, strong Python skills, and meaningful laboratory experience. The company offers substantial benefits, including generous holiday allowances and share options, while working to make plastics recyclable and reducing carbon emissions.