Senior Scientific Data Engineer, Cancer Research Platform

Abbott (abbottcareers2 board); Illinois; On-site; USD 130,000 - 190,000; Full time

Job summary

Abbott is seeking a Senior Scientific Data Engineer within the Cancer Diagnostics Science Office to design end-to-end data solutions for cancer research and diagnostic development. You will own parts of the research data platform, building reusable tools, pipelines, APIs, notebooks, and lightweight apps to organize, validate, transform, and share complex data.

You will collaborate with scientists, data scientists, bioinformaticians, and DevOps partners, applying strong software engineering

Qualifications

• Experience designing data platforms for research data and analytics.
• Proficient in Python and SQL for data tools and pipelines.
• Familiarity with Spark/PySpark and AWS data services is a plus.

Responsibilities

• Lead the design and delivery of reusable data tools for ingesting and transforming scientific data.
• Own platform capability areas end-to-end, including adoption and maintainability.
• Develop data pipelines, APIs, notebooks, and lightweight apps using Python/SQL.
• Create self-service workflows for researchers with varying programming skills.
• Collaborate with scientists, data scientists, bioinformaticians, and DevOps partners to translate needs into technical roadmaps.

Skills

Python

SQL

Spark

PySpark

AWS

Tools

S3

Athena

Glue

EMR

Lambda

SageMaker

Job description

Abbott is seeking a Senior Scientific Data Engineer within the Cancer Diagnostics Science Office to design end-to-end data solutions for cancer research and diagnostic development. You will own parts of the research data platform, building reusable tools, pipelines, APIs, notebooks, and lightweight apps to organize, validate, transform, and share complex data.

You will collaborate with scientists, data scientists, bioinformaticians, and DevOps partners, applying strong software engineering