Position: Data Engineer – MLE – Clinical Trials
We need a Data Engineer / Machine Learning Engineer who can turn raw clinical trial data into reliable, production‑grade systems that support trial design, patient recruitment, and real‑time monitoring. You will work closely with data scientists, software engineers, and product owners to build scalable pipelines that run under high load and real patient data.
How the team works
AI Labs operates with a startup mindset within Insud Pharma. The team is flat, collaborative, and fast‑moving. We hold regular demo days and whiteboard sessions, and work in small cross‑functional groups that iterate quickly and deliver visible results from day one. The office is located in central Madrid.
Responsibilities

Collaborate with small, cross‑functional teams—Product Manager, Data Scientist, Engineer, and key stakeholders—to deliver visible outcomes quickly.
Design, build, and maintain scalable data pipelines for ingestion, transformation, and serving, supporting both analytics and machine learning use cases.




Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring.
Translate notebooks and prototypes into robust, production‑ready machine learning systems.
Implement model deployment patterns (batch, real‑time, or hybrid) using APIs, scheduled jobs, or event‑driven architectures.
Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior.
Ensure data quality, versioning, and traceability across datasets and models.
Optimize pipelines and ML workloads for performance, scalability, and cost efficiency.
Work with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices.
Contribute to defining data engineering and MLOps standards across AI Labs, and mentor junior team members.

Qualifications

Proficient in Spanish and English, both written and verbal.
Strong proficiency in Python, with experience

📌 Data Engineer – Clinical Trials (Madrid)
🏢 Insud Pharma
📍 Madrid