Senior Bioinformatics Specialist
7 days ago
We are seeking a highly skilled Senior Bioinformatician to join our team at the Wellcome Sanger Institute. As a key member of our interdisciplinary team, you will play a crucial role in supporting single-cell and spatial transcriptomic studies, working closely with life scientists, computer scientists, and ML scientists.
The successful candidate will have a strong background in bioinformatics, genomics, and data analysis, with experience in single-cell genomics data analysis and integration. You will be responsible for implementing innovative and creative data analysis strategies to aid in the pursuit of biological insights and clinical translation using single-cell research.
Key responsibilities of the role include:
- Help generate and lead data analysis, and interpret large single-cell genomics data relating to the Human Cell Atlas research generated by the group, shared by collaborators and publicly available, including multi-omic and spatial datasets (e.g. scRNAseq, scATAC, 10x Genomics Visium and Xenium).
- Implement innovative and creative data analysis strategies to aid in the pursuit of biological insights and clinical translation using single-cell research.
- Work in a team to answer research questions formulated together with the members of Haniffa Lab, and with team members across the wider Institute as appropriate. Contribute to problem-solving discussions to solve complicated or multifaceted problems and generate novel ideas and new approaches.
- Organise and keep track of developed codes and generated data within the group.
- Feedback results to project leaders when required to achieve deadlines.
- To prepare high-quality data reports and manuscripts to communicate results, including through publication and presentations at scientific meetings.
- To take a full part in the general duties of the team, and to pass on skills and knowledge to other team members and visitors. To take part in wider Sanger Institute activities as appropriate.
About You
You are a bioinformatician with experience analysing genomic data and interpreting biological data. You are seeking a senior role that includes elements of statistical analysis, data analysis and pipeline engineering. You are a highly detail-oriented problem solver and are eager to learn and develop in the areas in which you have less experience. Teamwork and collaboration are essential aspects of this role, and you will be enthusiastic about creating effective and productive working relationships with collaborators both within and outside the organisation.
You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications on genetics and genomics approaches.
Essential Skills
- MSC or PhD in a relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Applied Statistics/Mathematics); or equivalent working experience in Bioinformatics or a related discipline
- Experience programming in high-level scripting languages (Preferably Python and/or R), and the Unix Shell
- Understanding and some experience in the fields of genomics, data processing and high-throughput data analysis
- Experience in single-cell genomics data analysis and integration, e.g. scRNAseq, scATAC (desirable)
- Experience developing statistical/machine-learning methods for the analysis of large-scale biological datasets, particularly Gaussian processes, neural networks and deep generative models (desirable)
- Extensive experience in a research environment with an established track record of productivity through publications, or writing reports in the industry
- Enthusiastic, proactive attitude and desire to learn
- Strong communication skills to allow efficient interactions with team members
- Commitment, problem-solving skills and attention to detail
- Ability to organise own workload and manage competing priorities
- Ability to summarise complex information and present to a wide variety of audiences in a concise and logical manner
- Demonstrates inclusivity and respect for all
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