As a Computational Biologist at Epoch, your core function will be to:

To support enzyme design and screening cycles by delivering practical computational protein design tools and analyses. The successful candidate will be able to translate well-scoped questions into reproducible analyses and pipelines, and will be comfortable iterating rapidly as new data becomes available. Full domain coverage is not expected on day one; a strong foundation, delivery focus, and willingness to learn are essential.

Key Responsibilities

• Develop, improve and maintain computational pipelines for both protein design (discovery) and analysis of subsequent high-throughput screening data (optimisation)

• Analyse high-throughput screening/assay data and communicate conclusions in a form that directly informs experimental decision-making, and delivers insights to guide future iterations of protein libraries

• Rapidly prototype minimally viable analyses and tools, and subsequently transition successful solutions into robust, maintainable production code

• Work closely with experimental stakeholders to clarify requirements, identify sources of assay variability/artifacts, and iterate on analyses based on laboratory feedback

• Conduct targeted literature and method reviews to support tool selection and analytical approaches, ensuring relevance and currency

• Maintain high-standard documentation and data frameworks that facilitate internal knowledge transfer and, when required, can be used to support patent filings, grant applications and publications

Essential Qualifications and Experience

• PhD (or equivalent research experience) in a relevant field with a strong experimental component (biochemistry, molecular biology, biotechnology, chemical biology, bioengineering, or related). We encourage applications from candidates who have recently completed their PhD and are looking to transition to an innovative and collaborative start-up environment

• Meaningful hands-on laboratory experience relevant to protein/enzyme engineering (e.g., cloning/expression/purification and/or assay development/high-throughput screening), including ability to interpret results within a design–build–test–learn workflow

• Demonstrated computational delivery applied to experimental datasets, including strong working knowledge of Python and common scientific libraries (e.g., NumPy, Pandas, SciPy; visualisation with Matplotlib/Plotly or equivalent), and evidence of reproducible end-to-end analyses/pipelines (scripts, tools, or documented notebooks)

• Hands-on experience with common protein engineering and structural visualisation tools, including PyMOL and Rosetta, with demonstrated prior use in protein structure analysis and/or design workflows

• Evidence of scientific output relevant to protein engineering or computational biology (e.g., publications, preprints, datasets, internal tools, or open-source contributions)

• Ability to work independently on well-scoped tasks, including communicating risks early and seeking input when appropriate

Beneficial Qualifications and Experience

• Experience with version control (git) and Linux/Unix environments

• Working understanding of one or more of: bioinformatics/NGS data analysis, molecular modeling (docking/MD), computational chemistry (RDKit) or machine learning methods used in protein engineering

• Experience working in interdisciplinary environments spanning computational and experimental teams

• Exposure to cloud platforms (GCP/AWS) and/or workflow tooling (e.g., Snakemake/Nextflow) is beneficial

Benefits and perks

Epoch Biodesign offers a comprehensive benefits program. At the moment this includes:

• A generous allowance of 30 days paid holiday (plus the usual 8 bank holidays)

• Meaningful EMI Share Options

• A non-contributory pension of 9% employer contribution

• Optional company covered private medical insurance with Vitality

• Group Income Protection

• Group Critical Illness

• Flexible working around the core times of 10am to 4pm

• Cycle to work scheme

• The opportunity to be part of building something remarkable

On-the-job perks:

• Complementary fresh fruit, coffee, tea and snacks

• Onsite gym

• Various staff social activities

And we’re continuously reviewing and enhancing our benefits and work environment.