DataOps Python Engineer for Life Sciences AI in Cambridge

DataOps Python Engineer for Life Sciences AI in Cambridge

Cambridge Full-Time No working from home possible
Elsevier

Elsevier's SciBite team in Cambridge is building data and ontology pipelines and AI/NLP technologies to empower life science researchers. As a DataOps Engineer, you will maintain and enhance data and ontology pipelines, collaborating with Ontology and Data Science teams to deliver high-quality vocabularies and data products.

You will develop automation and software to improve efficiency, support customer outcomes, and contribute to continuous DataOps tooling improvement, with AWS Batch, Step

#J-18808-Ljbffr

DataOps Python Engineer for Life Sciences AI in Cambridge employer: Elsevier

At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.

Elsevier

Contact Details:

Elsevier Recruitment Team