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Computational Research Associate
4 months ago
Join our team as a Computational Research Associate
The McGovern lab is seeking a talented and motivated Computational Research Associate to join their research group. Our research aims to understand the role of mononuclear phagocytes in autoimmunity and placental development.
This is a grade G7 Research Associate post, dependant on previous skills and experience.
The McGovern Lab:
Our team focuses on characterising human mononuclear phagocytes, crucial immune cells distributed across all tissues in the body. These cells perform vital functions in tissue development and function, fighting infection and resolving inflammation. We utilise a range of technologies to develop our understanding of the ontogeny and function of these cells including proteomic, transcriptomic and epigenetic approaches. We utilise cells isolated from primary human tissue samples and organoid systems. As part of our team, you will contribute to groundbreaking research in understanding the properties of mononuclear phagocytes in both health and disease.
About the role:
You will develop your own projects and support other projects in the lab. This will involve analysis of single cell and spatial transcriptomic data sets generated from human tissues to understand immune cells and their cross-talk with stromal cells in health and disease. You will be working with cell biologists across a range of expertise including immunology, virology, microbiology, and clinicians to adapt, improve, and integrate existing software, to best answer the scientific questions of the research programme. You will also be encouraged to develop novel computational tools to support this.
Your tasks:
- Design, implementation and application of single-cell and spatial transcriptomic analysis workflows
- Statistical analysis and data visualization
- Interaction and collaboration with researchers within the McGovern team
- Consultation regarding the planning and design of sequencing experiments
- Presentation and reporting of results
- Recommendation of publicly available resources and tools
- Working in a team with bioinformatic and computational colleagues
- Training and supervision of undergraduate and PhD students
Your profile:
- PhD in cell biology, bioinformatics or any other related field
- Expertise in the analysis and visualization of single-cell and other types of high-throughput data (e.g., RNA-seq, ATAC-seq, ChIP-seq); experience with proteomics data is of advantage
- Knowledge of statistics
- Proficiency in programming, e.g. with R and Python
- Experience in machine learning
- Background in mammalian cell biology and an interest in immunology
- Passion for unravelling complex biological systems
- Excellent communication and presentation skills and fluency in written and spoken English
- Team player capable of adapting to a rapidly evolving and interdisciplinary research environment
Why join us?
- Contribute to cutting-edge immunology research with real-world implications
- Collaborate with experts across the fields of immunology, virology, microbiology, and clinicians
- Work in a supportive and collaborative environment that fosters professional growth
Fixed-term: The funds for this post are available for 3 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.
To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.
How to apply:
Please provide a statement of interest/cover letter, CV and 2 references.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
£36,024 to £44,263 pa
