DataOps/Data Engineer

One Biosciences; Paris; Hybride; EUR 40 000 - 60 000; Plein temps

Avantages offerts par ce poste

Competitive package with performance bonus

Collaborate with leading cancer centers

Work with large datasets and create real clinical impact

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

AWS infrastructure

Python

Infrastructure as Code (IaC)

Data workflows design

Collaboration with multidisciplinary teams

Description du poste

Location: Paris (offices in Biolabs, 75014) – hybrid/remote-friendly

About One Biosciences

One Biosciences is a precision diagnostics company pioneering the use of single-cell transcriptomics and AI to decode tumor heterogeneity. Our platform combines advanced biology, algorithms, and molecular signatures to deliver insights that transform cancer care. Backed by €15M Series A funding and partnerships with Institut Curie, Gustave Roussy, and leading US centers, we are scaling globally to bring the next generation of diagnostics to patients.

Your Mission

As One Biosciences moves from research to clinical-grade diagnostics, robust and scalable data infrastructure is critical. We handle diverse, multi-modal datasets—from wet-lab assays to clinical samples—requiring high-performance pipelines and secure cloud environments.

As a Data Engineer, you will design and maintain data life cycle. This includes building data pipelines, integrate them in AWS infrastructure, and ensure data processing from raw sequences to clinically meaningful output. You’ll work closely with computational biologists, research scientists and software developers to build a production-grade infrastructure for cutting-edge oncology diagnostics.

Responsibilities

Design and optimize pipelines for single-cell data analysis.

Manage large-scale datasets using workflow management systems.

Build, maintain, and evolve AWS-based infrastructure.

Collaborate with biologists and clinicians, supporting computational tasks.

Test, document, monitor, and maintain codebases.

Experience

3+ years as data engineer, or devops with strong coding practices.

Required Skills

• Hands-on experience with AWS infrastructure and Infrastrucure as Code (IaC).
• Experience in designing, deploying and monitoring scalable data workflows.
• Proficiency in Python.
• Strong coding practices and attention to detail.
• Ability to collaborate effectively with biologists, clinicians, and software engineers in a multidisciplinary team.

Desired Skills

• Experience with R.
• Experience with molecular biology or oncology.
• Experience in database development and tuning.
• Experience working in a regulated environment

Why Join Us

• Join a fast-growing company scaling globally.
• Work with large scale datasets and create real clinical impact.
• Collaborate with leading cancer centers in France and the US.
• Competitive package with performance bonus.

Recruitment Process

• Phone screening
• Use case test
• Meet the team
• Interviews with stakeholders

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology