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Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services
Design and industrialize AI-native scientific data sets for next-generation lab data management products.
Boston
Senior
4 months ago
✨ About The Role
- Responsible for owning, prototyping, and implementing customer solutions related to scientific lab instrumentation data
- Conduct research and prototype data acquisition strategies and file parsers for various instrument output files
- Design and build data models, Python data pipelines, and visualization tools for customer solutions
- Collaborate with customers to ensure solutions meet their requirements and address their needs effectively
- Manage project timelines, customer relationships, and conduct post-mortems for continuous improvement
âš¡ Requirements
- Experienced professional with a background in data acquisition strategy and data modeling for scientific lab instrumentation
- Skilled in building Python data pipelines, unit tests, and visualization tools like Spotfire and Tableau
- Strong communicator who can work closely with customers to understand their requirements and deliver tailored solutions
- Detail-oriented individual who can manage project timelines and customer relationships effectively
- Ability to thrive in a fast-paced, innovative environment and embrace challenges with resilience
Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services
Boston
Engineering
About TetraScience
The only R&D data cloud for life sciences