Data Engineer, AWS Pipelines for Clinical Genomics (Hybrid)

One Biosciences; Paris; Hybrid; EUR 40,000 - 60,000; Full time

Benefits offered by this job

Competitive package with performance bonus

Collaborate with leading cancer centers

Work with large datasets and create real clinical impact

Job summary

A precision diagnostics company, scaling globally, seeks a Data Engineer to design and optimize data pipelines for cancer diagnostics. The role involves managing large-scale datasets using AWS infrastructure and collaborating with biologists and clinicians. Candidates should have hands-on experience in AWS, proficiency in Python, and a background in data workflows. The position offers a competitive package including a performance bonus and the opportunity to make a clinical impact.

Qualifications

• 3+ years experience as data engineer or DevOps with strong coding practices.
• Hands-on experience with AWS and IaC.
• Proficiency in Python and scalable data workflows.

Responsibilities

• Design and optimize pipelines for single-cell data analysis.
• Manage large-scale datasets using workflow management systems.
• Build and maintain AWS-based infrastructure.
• Collaborate with biologists and clinicians.
• Test, document, and maintain codebases.

Skills

AWS infrastructure

Python

Infrastructure as Code (IaC)

Data workflows design

Collaboration with multidisciplinary teams

Job description

A precision diagnostics company, scaling globally, seeks a Data Engineer to design and optimize data pipelines for cancer diagnostics. The role involves managing large-scale datasets using AWS infrastructure and collaborating with biologists and clinicians. Candidates should have hands-on experience in AWS, proficiency in Python, and a background in data workflows. The position offers a competitive package including a performance bonus and the opportunity to make a clinical impact.