Job Summary
You will be part of a diverse research group working on the MRC-funded UNICORN (Unified Cohorts Research Network) project, which aims at better understanding Asthma disease endotypes and their underlying disease mechanisms using a unique and challenging data-driven approach. You will also be part of a large consortium of academic and pharmaceutical experts working on the IMI-funded FAIRplus project to innovate and develop new processes, models and tools in FAIR data management in the biomedical domain.
You will be a major contributor to the development of a state-of-the-art life sciences research data management platform that fully embodies the data FAIR principles (Findability, Accessibility, Interoperability and Re-usability) for long term data stewardship.
The platform will host a large number of integrated and harmonized asthma-related datasets from population-based birth cohorts, patient cohorts and randomised controlled studies. The platform builds on previously published work that has gained the Data Science Institute at Imperial College its distinguished status in life sciences research data management. The UNICORN platform is envisioned as an end-user platform to enable researchers to discover and navigate the huge data space offered by these integrated datasets intuitively and precisely.
You will work together with research team at the Data Science Institute, the FAIRplus consortium and other UNICORN project partners to deliver the project deliverables.
Duties and responsibilities
- To design and develop the web-based UNICORN FAIR data management platform
- Work closely with project lead and partners to understand their requirements for integration and the expected usage of data in the short and long term
- To integrate data collected during the project with existing datasets on the developed platform
- To contribute to development of UNICORN data management pipeline and data standards
- To provide clear documentations for the platform
- To contribute to the development of FAIR data maturity assessment tools
- To promote and demonstrate the developed platform and tools in workshops for feedback and validation
- Contribute to Open Source Projects maintained by the Data Science Institute
- To attend regular project meetings and report working progress.
- To promote research internally and externally at national and international conferences by presentation, publication and demonstration
- To attend relevant workshops and conferences as necessary
- To promote the reputation of the Groups, the Departments and the College
Essential requirements
- For the Research Associate level, a PhD (or equivalent) in a related area, with a particular interest in full stack development
- For the Research Assistant level, near completion of a PhD (or equivalent) in a related area, with a particular interest in full stack development
- Experience in modern JavaScript development (ES6, Typescript)
- Experience with database engines (MongoDB, PostgreSQL/MySQL)
- Experience in using development/versioning tooling (e.g., VSCode, NPM, GitHub)
- Good understanding of CI/CD procedure and tools
- Knowledge of FAIR Data Principles and data standards in life sciences is an advantage
- Strong coding skills and problem-solving skills
Further information
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,694 – £39,888 per annum.
For queries regarding the application process contact Amandeep Bahia at [email protected]
Closing date: 08/07/2022
To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG02173.