Data Engineer
September 7
Description
•Support Translational Data Services team in implementation and maintenance of data standards •Create production-level source code for use in biomarker data management •Develop and maintain custom pipelines for data processing and quality control •Build data pipelines that clean, transform, aggregate or visualize data •Perform source code validation and application testing •Collaborate with members of other divisions and external clients and vendors
Requirements
•Bachelor’s in data management, Bioinformatics, biotechnology, computer science, information technology, engineering, mathematics, physics, data science or related discipline •2 years of relevant working experience •Proven experience with programming languages such as R or Python and data visualization/exploration tools •Proven experience with analyzing biological data, querying databases, writing API calls and using AWS ecosystem •Ability to work under tight deadlines, on a very dynamic, fast-paced team and handle multiple projects at the same time •Ability to leverage existing technologies, internal and external, to address unique challenges •Ability to identify problems and work with internal stakeholders to a resolution •Excellent communication and interpersonal skills •Team player contributing to a positive, collaborative working environment •Must be able to read, write, speak fluently and comprehend the English language •Master’s in data management, Bioinformatics, Data Science, Biostatistics, Biology or related field (preferred) •Experience with source code management systems such as git (preferred) •Ability to work efficiently under Unix/Linux environment (preferred) •Experience interfacing with LIMS systems (preferred) •Experience with cloud computing infrastructure (e.g. AWS) (preferred) •Experience with relational databases such as MySQL (preferred)
Benefits
•Discretionary annual bonus •Health insurance •Retirement savings benefits •Life insurance •Disability benefits •Parental leave •Paid time off for sick leave and vacation
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