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Opportunity: Senior Bioinformatician -- Cancer Research @ Wellcome Sanger Institute -- Hinxton/Cambridge, UK
Submitted by Sam Bowker; posted on Friday, July 2, 2021
DESCRIPTION
The Opportunity:
The Garnett lab are seeking a Senior Bioinformatician for the analysis of large-scale functional genomics datasets to guide the pre-clinical discovery of innovate new precision cancer medicines.
About the Research:
Cancer is a genetic disease caused by the accumulation of changes within the DNA of cells that confers a growth and survival advantage. The Translational Cancer Genomics team investigates how genetic alterations in cancer contribute to disease and impact on response to therapy. We use a multi-disciplinary team approach combining large-scale data generation in cancer cell models together with data science to address key challenges in cancer and drug discovery. Our research is at the interface of cancer genomics, cell biology and cancer therapeutics, with a clear focus on translating our discoveries into practice.
About the Role:
You will be responsible for supporting the work of multiple projects in the lab including the analysis of large-scale DNA and RNA sequencing datasets, analysis of CRISPR screening results, and the use of a range of statistical and machine learning methods to integrate high-dimensionality genetic and functional data. You will work collaboratively with the broader team and external collaborators. There is potential for the role to be extended beyond 2 years.
About You:
We are looking for someone who brings creativity and passion to their work. You should have strong technical skills together with a desire to utilise and develop innovative approaches. You should be an excellent communicator with experience working collaboratively as part of a team. You should be able to work flexibly to support projects and manage changing priorities.
REQUIREMENTS
Technical Skills:
- A PhD or MSc in computer science, bioinformatics or related scientific discipline, or experience working in academia or industry
- Experience in the analysis of large data sets genomic datasets, including DNA or RNA sequencing data
- Experience using statistical or machine-learning approaches including linear-regression models, elastic nets, lasso or ridge regression
- Proficiency in one or more scripting languages
Competencies and Behaviours:
- Excellent communication and organisational skills
- Proven ability to work effectively within a team
- Ability to work independently and organise own workload
- Good attention to detail and record keeping
- Demonstrated ability to adapt to regularly changing priorities & workloads
Ideal Skills:
- Demonstrable record of productivity in biostatistics / bioinformatics and/or software development
- Understanding of molecular biology, immunology, genetics or genomics
- Experience in the analysis of CRISPR genetic screens
- Web development skills would be an asset.
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