Epigene Labs is seeking a strongly motivated Data Engineer eager to leverage their skills in our fight against cancer. As a member of the data team, you will collaborate closely with data scientists, software engineers and other key stakeholders to build and maintain robust, scalable and efficient data pipelines that bridge AI/ML algorithms and computational biology.

The responsibilities of this position encompass the following activities, under the mentoring of a senior profile:

• Contribute to the design, implementation and maintenance of clinical and gene expression data pipelines and associated infrastructure

• Identify and resolve bottlenecks and performance issues in data pipelines/infrastructure

• Support the full lifecycle of machine learning models, including training, evaluation, deployment and monitoring

• Enhance operational efficiency through automation, CI/CD, monitoring, and troubleshooting of production processes

Job skills

• Proficiency in Python programming

• Experience with cloud infrastructure and services (Azure preferred); knowledge of infrastructure as code (e.g. terraform) is a bonus

• Experience with ETL/ELT processes (e.g. Azure Data Factory, Talend, Airflow)

• Familiarity with AI/ML pipelines and MLOps (e.g. mlflow)

• Experience with CI/CD processes (e.g. GitHub actions, Azure DevOps, Jenkins)

• Knowledge of containerization (e.g. Docker)

• Proficiency in SQL databases

• Excellent communication and interpersonal skills, with the ability to work effectively in cross-functional teams

Education and experience

• 1+ year of experience as a Data Engineer

• Master’s Degree in Computer Science, Data Management or Engineering

• Working knowledge of healthcare, biopharma and/or oncology is a plus

For this position, the candidate should be based in France.

• Short fit call

• Technical challenge : A real world challenge to see how you would collaborate with the team

• Meet the leadership team

• Discussion with the CEO