Scientific Data Engineer

Quantori; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Quantori seeks a Scientific Data Engineer to onboard lab instruments and develop data solutions. You will design parsers and data pipelines to ensure efficient data flow and accessibility on the TetraScience Platform.

The role requires a solid data engineering foundation in scientific environments and proficiency with Python, R, SQL, and cloud services, with strong collaboration across teams to translate complex data needs into actionable solutions.

Qualifications

• Experience in data engineering for scientific or healthcare settings.
• Ability to translate complex data needs into data solutions.
• Strong coding and data modeling skills across Python, R, SQL and cloud environments.

Responsibilities

• Onboard laboratory instruments onto the TetraScience Data Platform and design parsers.
• Develop data pipelines to ensure efficient data flow and accessibility.
• Collaborate with the Systems Integrations team to deliver robust integration solutions.

Skills

Data engineering

Instrument onboarding

Stakeholder communication

Tools

Python

R

SQL

Cloud services

Job description

Quantori seeks a Scientific Data Engineer to onboard lab instruments and develop data solutions. Candidates with a strong data engineering background, especially in scientific environments,

In this role, you will be responsible for onboarding laboratory instruments onto the TetraScience Data Platform, which involves developing instrument parsers and designing data pipelines to ensure efficient data flow and accessibility. Collaboration with the Systems Integrations team will be key to providing effective integration solutions.

The ideal candidate will have a solid foundation in data engineering, particularly in scientific or healthcare settings, and be proficient in tools like Python, R, SQL, and various cloud services. Success in this position will hinge on your ability to translate complex data needs into actionable solutions while managing stakeholder expectations.