Data Steward (Pipeline Development Focus)
Role details
Job location
Tech stack
Job description
As a Data Steward with a development focus, the successful applicant will build and maintain robust data-processing pipelines for these diverse data types. An initial focus will be linked with the LiRI laboratory to develop a pipeline for EEG data processing. This will then expand to working with data coming from our new lab for visual language research. This will require working with/supporting research groups, understanding their needs and creating user-friendly, well-documented and adaptable solutions for data management and processing., * Scientific programming (data transformation, reproducibility, visualization, analysis)
- Design, develop, and maintain data pipelines and workflows
- Implement reproducible workflows using best-practice tooling
- Collaborate with researchers and users to understand requirements and provide advice
- Produce documentation and training materials for researchers
- Contribute to teaching and training
- Participate in the University's Data Stewards Network and Research Software Engineer community
Requirements
Do you have experience in Research?, * A relevant qualification with scientific programming experience (essential)
- Python Programming and familiarity with commonly used data packages (Numpy, Pandas, Polars, etc.) (essential)
- Familiarity with standard software engineering practices (e.g., test driven development) (essential)
- Technical writing: able to write clear and concise documentation and training materials (essential)
- Familiarity with discipline-specific data organization standards (like BIDS) and tools (MNE-python) (desirable)
- Knowledge of Statistics (desirable)
- Experience with other programming language: R, Matlab (desirable)
- Prior experience working in a university or other research organisation (desirable)
- Familiarity with the FAIR principles for research data management (desirable)
Abilities
- Excellent problem-solving skills including an ability to diagnose hardware and software faults (essential)
- A flexible attitude to work, including the ability to take up new tasks quickly and when required without supervision (essential)
- Capacity to communicate technical information to researchers with different levels of technical affinity and to mediate between technical and research staff (essential)
- Ability to work under pressure and manage competing priorities (essential)
Professional Skills
- Committed to providing a responsive and helpful service (essential)
- Making best practice a priority (essential)
- Documenting and sharing solutions (essential)
- Creating and supporting simple and consistent work processes (essential)