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I am looking for a Data Engineer, with experience working with large and heterogenous datasets, to work with the Translational team, of a biopharmaceutical company, who are responsible for the development and delivery of data and analyses that turn exploratory hypotheses into actionable insights from clinical trials.
To support the automation of the data and analysis pipeline, we are seeking a talented and proactive Data Engineer to support data management, reporting and analytical capabilities. The successful applicant will be expected to possess a strong knowledge and experience of coding and its best practices.
Bachelor's or Master's degree in computing science or equivalent experience
Experience working with large and heterogenous datasets is a key requirement
Prior experience of working as a software or data engineer
Experience writing Python/R scripts
Ability and eagerness to rapidly learn new languages/frameworks as required.
Experience working in a Linux command-line environment
Experience with Git version control
Experience working with containerisation e.g. Docker
Experience with Continuous Integration and R packages/ python modules
Knowledge of Data Management best practices
Demonstratable experience with processing and visualisation of biological datasets Experience working with the Atlassian toolchain (Jira, Bitbucket, Confluence)
Experience working in an Agile/Scrum environment
Successful candidates will also possess good communication skills, a desire to work in a dynamic fast paced multidisciplinary team environment and an ability to manage multiple, concurrent initiatives.
This is a unique opportunity to work with a leading team of scientists with an international reputation for excellence in immuno-oncology research.