Scientific Data Engineer

Join Quantori as a Scientific Data Engineer to work on onboarding laboratory instruments and developing data solutions. Remote full-time position with a competitive salary. Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

• •Onboarding of approximately 50 laboratory instruments onto the TetraScience Data Platform:
• •Development of instrument parsers as required
• •Design and development of data pipelines to support data flow and accessibility
• •Provide solution guidance to the Systems Integrations team on Integration solution guidance between TetraScience and Revvity ELN
• •Activities Performed:
• •User Story creation & refinement,
• •Raw-to-IDS, metadata attribution,
• •instrument onboarding,
• •parser development, testing, etc..

Note that this does not include integrations of system with ELN, NNCD, Inventory management, etc.

• •Competitive compensation
• •Remote or office work
• •Flexible working hours
• •Continuous education, mentoring, and professional development programs
• •A team with excellent tech expertise
• •Certifications paid by the company

• •Expertise working with data from laboratory equipment/software, (e.g. LIMS, ELN, etc.)
• •Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
• •5+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.
• •Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift).
• •Expertise in ETL and DWH.
• •Experience with NoSQL and graph databases.
• •English language proficiency of B2+
• •Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.
• •Experience in Data Platform integrations, preferably in Life Sciences/biotech domain.