Data Engineering Expert

2 days ago


North Chicago, Illinois, United States BioSpace, Inc. Full time

About Us

BioSpace, Inc. is a leading life sciences company committed to discovering and delivering innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. Our mission is to have a remarkable impact on people's lives across several key therapeutic areas, including immunology, oncology, neuroscience, and eye care, as well as products and services in our Allergan Aesthetics portfolio.

Job Description

We are seeking a highly skilled Senior Scientist, Data Architect to join our Genomics Research Center (GRC) team in the United States. This role offers an estimated annual salary of $240,000 to $300,000, based on experience.

In this role, you will be responsible for designing and developing scalable and efficient data storage platforms to accommodate large-scale bioinformatics data, collaborating with bioinformatics engineers and scientists to understand data requirements and develop loading processes for newly generated omics data, and building robust and secure APIs to facilitate data access, retrieval, and integration across different bioinformatics applications.

Responsibilities:

  • Design and develop scalable and efficient data storage platforms to accommodate large-scale bioinformatics data.
  • Collaborate with bioinformatics engineers and scientists to understand data requirements and develop loading processes for newly generated omics data.
  • Build robust and secure APIs to facilitate data access, retrieval, and integration across different bioinformatics applications.
  • Optimize the performance of data storage and retrieval operations to ensure quick and accurate access to omics data.
  • Implement data governance and security measures to maintain data integrity and assure stakeholder access.

Requirements and Qualifications:

  • Degree in computer science, bioinformatics, or a related field.
  • Extensive experience in designing and implementing scalable and efficient data management platforms for bioinformatics data.
  • Demonstrated expertise with AWS services such as S3, EC2, RDS, RedShift, Athena.
  • Expert knowledge of bioinformatics data, including omics data types and formats.
  • Proficiency in programming languages such as Python, Java, or R, and extensive experience with database technologies such as SQL, NoSQL, and cloud-based storage solutions.
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