MRC Computational Postdoctoral Research Scientist (Dry Laboratory) LMS 2664
- Single-cell multiomics and spatial transcriptomics
- 3D genome architecture and nuclear organisation
- Epigenomics and epitranscriptomics in development and disease
- Model systems including human, mouse, flies, worm and beyond
- Personal research interests and innovative ideas within these themes are strongly encouraged
About the Role: This position focuses on computational analysis and method development for large-scale multiomics datasets, particularly those derived from single-cell, spatial, and 3D genome experiments. The successful candidate will work closely with experimental collaborators, contribute to the development of reproducible analytical pipelines, and explore new computational frameworks for integrating diverse data types. There will be opportunities to lead independent projects and co-supervise students. Main duties / Key responsibilities:
- Design, plan, and conduct high-quality, independent research aligned with the project aims
- Critically analyse, interpret, and present experimental data with scientific rigor and reproducibility
- Develop, refine, and implement experimental methods, protocols, and analytical techniques
- Stay current with relevant scientific literature and integrate new findings and methodologies into ongoing research
- Collaborate effectively with internal lab members and external partners, including participation in interdisciplinary projects
- Provide mentorship, training, and guidance to junior researchers and PhD students
- Contribute to the academic life of the institute by attending and participating in lab meetings, journal clubs, and seminar programmes
- Present research findings at national and international conferences and meetings
- Publish results in high-quality, peer-reviewed scientific journals
- Support the smooth running of the laboratory by contributing to shared responsibilities and day-to-day operations
- Support the preparation of research grant applications, including contributing to the development of proposals and gathering preliminary data
- PhD (or equivalent experience) in a relevant field (e.g., bioinformatics, computational biology, molecular biology, cell biology, biochemistry, developmental biology, genetics)
- Proven experience in single-cell omics data analysis and visualisation
- Proficiency in Python and/or R
- Experience with statistical analysis, machine learning methods, and high-performance computing
- Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics
- Familiarity with multiomics integration techniques
- Strong conceptual understanding of genomics, gene regulation, developmental biology, computational biology approaches
- Experience in generating high-quality figures for publication
- Excellent written communication skills in English
- First-author publication or pre-print
- Experience in assembling manuscripts for publication
- Experience presenting scientific data at national or international conferences
- Enthusiastic and motivated, with a genuine interest in scientific discovery and learning
- Independent research capability, including the ability to manage and drive projects autonomously
- Collaborative mindset, with the ability to work effectively in a team-oriented research environment
- Eagerness to learn, particularly in computational and analytical approaches
- Creativity and problem-solving skills, especially when troubleshooting complex challenges
- Excellent verbal communication skills in English, with the ability to present ideas clearly and confidently
- Good interpersonal skills, including the willingness to give and receive help and feedback
- Commitment to knowledge sharing and mentoring within the group
- Highly organised and diligent, with strong attention to detail
- Adaptability and openness to integrating new techniques and collaborating across disciplines
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