Position:Data Engineer -MLE – Clinical TrialsWant to know more?INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health.The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (m Abxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D; centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development.Ready to be a #Challenger?What are we looking for?We're AI Labs — the applied AI team at Insud Pharma. 30 people. AI Engineers, Data Scientists, Dev Ops Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited, and how everything gets monitored once the trial is live.Clinical trials run on data. Bad pipelines, slow models, and infrastructure that breaks under pressure can cost months — or worse, the trial itself.We need aData Engineer / Machine Learning Engineerwho knows the difference between a model that works in a notebook and one that works at 3am, under load, with real patient data flowing through it.You’ll work shoulder to shoulder with data scientists, software engineers, and product owners, turning raw trial data into systems that hold up in production — across trial design, patient recruitment, and real-time monitoring. Some weeks you’re deep in a pipeline that flags recruitment delays before they become a problem. Other weeks you’re the one making sure a model that worked perfectly in testing doesn’t choke the moment it hits live trial data. No two days look the same.This isn't a "ship it and walk away" role. You’llown what happens after the experiment ends— the pipelines, the infrastructure, the part where things either scale or don't. If you're the kind of person who finds real satisfaction in making systems reliable under pressure, and you want full ownership over how that happens,we want to talk to you.How the team works:AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that:flat, collaborative,



and fast-moving. You will work alongside Data Scientists, AI Engineers, Dev Ops Engineers, and Product Managers who are equally committed to delivering high-quality work.We hold regulardemo dayswhere teams present their work, as well aswhiteboard sessionswhere we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city.The challenge!Collaborate withsmall, cross-functionalteams. Each project is run by a small group — typically a Product Manager, a Data Scientist, an Engineer, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible from day one.Design, build, and maintainscalable data pipelinesfor data ingestion, transformation, and serving, supporting both analytics and machine learning use cases.Developandproductionizemachine learning pipelines, covering training, validation, deployment, and llaborate closely with Data Scientists to translate notebooks and prototypes intorobust, production-ready ML systems.Implementmodel deployment patterns(batch, real-time, or hybrid) using APIs, scheduled jobs, or event-driven architectures.Build and maintainfeature pipelines and data abstractionsthat enable reproducible and reliable model behavior.Ensuredata quality, versioning, and traceabilityacross datasets and models.Optimizepipelines and ML workloads for performance, scalability, and cost efficiency.Work with Dev Ops and Platform teams todeploy solutionsusing containerization and CI/CD best ntributeto defining data engineering and MLOps standards across AI Labs. Participate in code reviews, documentation, and mentoring to foster a culture of engineering excellence.What do you need?Proficient inSpanish and English, written and verbal communication.Strong proficiency inPython, including clean code practices, packaging, and modular design.Solid understanding ofsoftware engineering principles(OOP, SOLID, testing, version control).Hands‑on experience buildingdata pipelines(ETL / ELT)



using Python-based frameworks or custom solutions.Experience working withmachine learning workflows, including model training, evaluation, and deployment.Familiarity withREST APIsand service-based architectures (Fast API, Flask, or similar).Strong experience withGitand collaborative development workflows.Experience withcontainerization(Docker) and cloud environments ( AWS or Azure ).Experience withMLOps practices(model versioning, monitoring, drift detection, retraining strategies).Familiarity withorchestration tools(e.G., Airflow, Prefect, Dagster).Experience withdata storage systems(SQL / No SQL databases, data lakes, object storage).Exposure tostreaming or event-driven architectures.Experience deploying or operating ML systems inregulatedorhigh-reliability environments.Familiarity withML frameworksandscientific libraries(Num Py, Pandas, Scikit-learn, Py Torch, Tensor Flow).Interest in appliedAI topicssuch as NLP, LLM-based systems, or scientific computing.Adaptable start time from Monday to FridayTraining and language learning platformWellness platform with unlimited free psychologist sessionsDevelopment plans, internal mobility policy.What will the Selection process be like?Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels.Prepare well! We will continue with an in-person or virtual interview depending on availability and what we agree upon;
there may be one or twointerviews in the process, and depending on the type of process, there may also be some kind of test.Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process.Do you think this offer is not for you?Follow us on social media like Linked In/Instagram and stay tuned for any offers we may release;
the opportunity to be anew Insuder is waiting!COMMITMENT TO EQUAL OPPORTUNITIESThe Insud Pharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

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