Data Scientist (Genomics) London

Flexible and hybrid working options, London UK

Your chance to get involved in an exciting early-stage biotechnology venture and make a real impact!

This is an exciting time to join Cambridge Epigenetix (CEGX) as we prepare to launch the first iteration of a technology platform that enables the simultaneous sequencing of primary and epigenomic sequence data, giving researchers unprecedented visibility on how these interact and control gene expression. World-leading researchers are working with us to demonstrate the utility of our current products and crystalising requirements for future products.

Our goal is to be a multi-omic sequencing technology provider and unlock the highly complex and nuanced mechanisms behind human biology and disease.

The Team:

Our technology provides our customers with novel multi-modal information that will enable new scientific discoveries. Within our computational technology teams, Data Scientists are responsible for demonstrating the utility of the data generated by our products. They do this through the development of new methods to extract insights from the technology’s output, the design and execution of benchmarking studies on various applications, and through collaboration with our customers to generate new scientific discoveries when they use the technology on their sample sets. 

The Role:

As a Data Scientist you will be involved in the development of new computational methods that leverage the unique characteristics of our technology and the execution of benchmarking studies to demonstrate the utility of our technology in various genomic applications. You can expect to collaborate closely with other genomic data scientists as well as the bioinformaticians and engineers developing our core bioinformatics pipelines. You are expected to follow the literature in a fast-moving field and will join an expert team energetically staking a claim to it.

Requirements

The Person:

The ideal candidate will have a background in bioinformatics or computational biology and be looking for a collaborative and dynamic environment in which they can have real-world impact.

Essential Skills:

• PhD or commensurate experience in biological or quantitative subject area, with a strong focus on bioinformatics and biological data analysis .

• Expertise in at least one of the programming languages commonly used in data science and scientific programming (such as Python, R, or Julia). 
• Familiarity with methods used in genomic data science, including experimental design, QC, and common methods of secondary and tertiary analysis such as variant calling, QTL mapping, and GWAS/EWAS.

Nice to have:

• Knowledge of software development best practices (version control, code review, pair programming, agile/scrum, testing, etc.) 
• Experience using and deploying systems on cloud platforms (such as GCP or AWS). 
• Experience with genomic-specific computational workflow platforms (such as Terra or NextFlow). 

Behaviours:

• An entrepreneurial mindset with a desire to work in a fast-paced, commercially focused organisation.
• Able to communicate complex topics appropriately to a range of different backgrounds and audiences. 
• Strong team player who understands how to build partnerships and deliver through collaboration with others.
• Comfortable with ambiguity, responding quickly and adapting as new opportunities emerge.

Benefits

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