Bioinformatician in Immunology

**Join our team as a Bioinformatician**

The McGovern lab is seeking a talented and motivated Bioinformatics Research Associate to join their research group. Our research aims to understand how mononuclear phagocyte biology is altered in disease.

**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 roles 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 ground-breaking research in understanding the properties of mononuclear phagocytes in both health and disease.

**About the role**:
You will analyse 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 fields 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.

**Your tasks**
- 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 biology, bioinformatics, computational biology, computer science, statistics, mathematics, 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 molecular biology concepts 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.

Please provide a statement of interest/cover letter, CV and 2 references.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.