MDAnalysis Research Software Engineer (Part Time)

King's College London

City of Westminster

Hybrid

GBP 32,000 - 52,000

Part time

4 days ago
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Job summary

MDAnalysis is seeking a Research Software Engineer (RSE) to provide dedicated maintenance and development capacity for the MDAnalysis library at King’s College London. This part-time role (0.8 FTE) is funded for 12 months at Grade 6/35.

You will work with a distributed team and focus on release management, documentation, and interoperability with major molecular simulation engines. The post requires a PhD in a relevant field or equivalent experience, strong Python skills, and experience with

Qualifications

  • PhD or equivalent experience in computational science fields.
  • Strong Python proficiency with NumPy/SciPy relevant ecosystem.
  • Experience in software engineering and CI/CD practices.
  • Familiarity with open-source project maintenance and release cycles.

Responsibilities

  • Maintain and release the MDAnalysis core library and ecosystem.
  • Develop and improve User Guide and tutorial infrastructure.
  • Manage trajectory formats support (BCIF/MMCIF, Desmond) and test suite modernization.
  • Contribute to issue triage, code reviews, and release management in a distributed team.

Skills

Python proficiency
CI/CD practices
Git/GitHub
Open-source software
Technical documentation
Communication in distributed teams
Molecular dynamics software knowledge
Python packaging (PyPI/conda-forge)

Education

PhD in a relevant subject or equivalent

Tools

Git/GitHub
CI/CD tooling
PyPI
conda-forge
OpenMM
GROMACS
MDAnalysis library
Desmond

Job description

MDAnalysis is seeking a Research Software Engineer (RSE) to provide dedicated maintenance and development capacity for the MDAnalysis library at King’s College London. This part-time role (0.8 FTE) is funded for 12 months at Grade 6/35.

You will work with a distributed team and focus on release management, documentation, and interoperability with major molecular simulation engines. The post requires a PhD in a relevant field or equivalent experience, strong Python skills, and experience with

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