面議(經常性薪資達4萬元或以上) 新竹市東區 工作經歷不拘 3天前更新
• Build integrations that parse and ingest outputs from lab instruments (spectrometers, rheometers, HPLCs, and more) into the Uncountable platform.
• Design and implement automated pipelines that connect existing R&D data sources — spreadsheets, databases, file shares, and lab systems — into Uncountable.
• Write Python scripts and tooling to parse, validate, and transform scientific data files across a wide variety of formats.
• Work directly with R&D teams to understand their data environments, map their schemas, and deliver clean, well-documented integrations.
• Partner with the data science team to ensure data lands in the platform in a model-ready, analysis-ready structure.
• Debug and maintain existing integrations as R&D needs evolve and data sources change.
Qualifications
• B.S. or M.S. in Computer Science, Chemical Engineering, Materials Science, Chemistry, Bioengineering, or a related field.
• Experience with APIs (REST), SQL databases, or Excel/CSV data pipelines and ETL workflows.
• Exposure to lab environments, scientific instrumentation, LIMS/ELN systems, or research data workflows.
• Familiarity with version control (Git), automated testing, or cloud and data-pipeline tooling.
• Prior experience integrating instrument or laboratory data into an R&D data platform (Uncountable or similar).
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