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Opportunity: Principal Bioinformatician @ Wellcome Sanger Institute -- Hinxton/Cambridge, UK
Submitted by Sam Bowker; posted on Tuesday, July 13, 2021
BACKGROUND
The Opportunity:
The Teichmann lab is seeking an enthusiastic and skilled Principal Bioinformatician to contribute to the group's cell atlasing research.
This is a unique opportunity to join a world-leading research team on a permanent contract, allowing you to contribute to the Human Cell Atlas project via your technical expertise and team management skills.
About you:
- You will have a strong background in the management and analysis of large data sets, and will be looking for an opportunity to apply your experience and knowledge in the single cell field. With a passion for developing and supporting people, you will have supervised junior members of the team in previous roles.
- You will have proven experience in delivering collaborative projects, and will have strong communication skills.
About the team:
The Teichmann lab uses single-cell approaches, so called "cell atlas" technologies to combined with human genetics at the cellular level. To perform this research, we make use of state-of-the-art technological advances, including multi-modal single cell genomics (e.g., transcriptomics, chromatin accessibility, and protein expression) and spatial genomics (e.g. 10x Genomics Visium, FISH, in situ sequencing) technologies. The team are significant contributors to the Human Cell Atlas and the Human Developmental Cell Atlas; international projects to systematically map all cells in the body across the lifespan. For more information about the HCA project click here.
RESPONSIBILITIES
Key responsibilities of this role include:
- Working closely with Sarah Teichmann on the dry lab scientific and organizational strategy, with a responsibility for line managing dry lab roles
- Leading or contributing as appropriate to publications
- Analyse large scale multi-modal single cell genomics and spatial genomics data to characterise the cell states present in the tissue and their communication
- Support and participate in the development of new computational methods to study cell state, cellular communication and gene regulatory networks
- Suggest validation strategies to confirm hypotheses and predictions from 3) and 4) above
REQUIREMENTS
Essential Skills:
- PhD in relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Applied Statistics/Mathematics)
- Proven understanding and experience in the fields of genomics, data processing and high-throughput data analysis that can be transferable to single cell genomics
- Demonstrated expertise in the management and analysis of very large data sets
- Experience programming in high level scripting languages (C/C++, R, python)
Competencies and Behaviours:
- Excellent communication skills to allow efficient interactions with team members and collaborators
- Ability to build collaborative working relationships with internal and external stakeholders at all levels
- Experience of writing manuscripts for publication
- Highly developed problem-solving skills
- Experience in supervision (PhD student and Postdocs)
- Demonstrable good time management and project management skills
- Critical and analytic thinking around problems
- Record of research publications
Ideal Skills:
- Experience in single cell genomics data analysis
- Experience developing statistical/machine-learning methods for the analysis of large-scale data sets, particularly constrained latent variable models, Gaussian processes, neural networks and deep generative models
- Experience with image data analysis
- Experience with genetic association mapping (GWAS, eQTL mapping)
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