Scientific Data Engineer
Scientific Data Engineer at Quantori (World). The type of work: Full-time / Remote in Development category.
Responsibilities
- 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
What we expect
- 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
Nice to have
- Proficiency with Revvity's Signals ELN
- Expertise in TetraScience Data Platform
We offer
- Competitive compensation
- Remote or office work
- Flexible working hours
- Continuous education, mentoring, and professional development programs
- A team with an excellent tech expertise
- Certifications paid by the company
