Kymera Therapeutics
Biotechnology
DataEngineerorSeniorDataEngineer,ResearchInformatics
“Data Engineer or Senior Data Engineer, Research Informatics at Kymera Therapeutics. Skills: Data Engineering, Research Informatics, Scientific Applications, Data Pipelines. Serve as informatics point of contact. Own scientific applications”
Industry & Context.
Troubleshoot scientific applications; Identify pain points; Deliver scalable solutions
What They're Looking For.
Must Have
Master's degree or higher, 5+ years relevant experience, 8+ years relevant experience, Hands-on CDD Vault experience, Hands-on D360 experience, Hands-on Spotfire experience, Hands-on Benchling experience, Python development skills, R development skills, SQL development skills, Scientific data engineering experience, ETL workflows experience, APIs experience, System integrations experience, Manage competing priorities, Stay organized under pressure, Adapt quickly as needs evolve, Partner effectively with scientists, Partner with vendors, Partner with CROs
Nice to Have
AWS cloud services familiarity, Cloud-native data workflows familiarity, Cheminformatics domain knowledge, Bioinformatics domain knowledge, FAIR data principles familiarity, Research data lifecycle management familiarity
What You'll Do.
Serve as informatics point of contact
Own scientific applications
Provide operational support
Support cloud-based infrastructure
Contribute to data architecture
Contribute to metadata standards
Contribute to FAIR data practices
Design data pipelines
Develop data pipelines
Maintain data pipelines
Maintain integrations
Administer scientific applications
Configure scientific applications
Troubleshoot scientific applications
Partner with scientists
Deliver informatics solutions
Manage scientific data
Govern scientific data
Ensure data consistency
Drive system implementations
Drive system upgrades
Drive vendor evaluations
Create technical documentation
Maintain technical documentation
Create user training materials
Maintain user training materials
How You'll Work.
Team & Collaboration
Work with scientists; Work with CROs; Work with vendors; Work with IT
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