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| Job Location | Cambridge |
| Education | Not Mentioned |
| Salary | Salary negotiable |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Data Engineer required to join a new Data team in a leading biotech start-up.Role:You will design and build future-proof databases, large-scale processing systems and APIs in collaboration with Bioinformatics, Machine Learning and modeling experts, by developing, constructing, testing and maintaining data acquisition and dissemination methods. Deciding the best methods to acquire, curate, store and retrieve many primary and secondary data types along with metadata pertaining to various data domains.Analysing characteristics of data sets (-omics, imaging, structural) required by Bioinformatics, Machine Learning and Science team members, and using that understanding to discover and develop methods to make them available.Developing and implementing the most optimal methods for regular extraction, curation, transformation, storage, retrieval and delivery of large and complex scientific datasets for Research and Product DevelopmentRecommending and implementing ways to improve data reliability, efficiency, and quality, through systems integration methods, automation of acquisition and quality control/assurance processesActively identifying patterns and anomalies in datasets using data surveillance tools as part of data performance reviews, and identify methods to improve existing processing pipelines.RequirementsBachelors or Masters degree in computing science or equivalent experiencePrior experience of working as a software or data engineerExperience writing Python/R scriptsAbility and eagerness to rapidly learn new languages/frameworks as required.Experience working in a Linux command-line environmentExperience with Git version controlExperience working with containerisation e.g. DockerIdeally:Experience with Continuous Integration and R packages/ python modulesKnowledge of Data Management best practicesDemonstratable experience with processing and visualisation of biological datasetsExperience working with the Atlassian toolchain (Jira, Bitbucket, Confluence)Experience working in an Agile/Scrum environment Required skills
Keyskills :
SQL javascript python AWS hadoop API39;s spark noSQL