Pivotal is excited to expand our team and we are looking for an experienced, highly motivated Clinical Data Scientist — AI & Automation who shares our vision of providing clinical research excellence through the intelligent use of technology. Joining Pivotal means becoming a member of one of the leading full‑service contract research organizations in Europe, with a very solid reputation. This role promises direct client experience, career growth, and professional development within a scientific and data‑driven company. You'll have the opportunity to work across a wide variety of therapeutic areas while actively shaping how AI transforms clinical research from the inside.
We are passionate and fully committed to medical science while leveraging cutting‑edge technology, including AI, to make a positive impact
We take care of our employees, ensuring everyone receives permanent mentoring, training, and a push to always take one step further, as well as international experience that will accompany you throughout your career
We are continuously building our company,



bringing together diversity of thoughts, backgrounds, cultures, and perspectives to create a place where everyone feels like they belong
You will operate at the crossroads of clinical data science and AI engineering, applying advanced analytical and automation skills to accelerate and improve clinical research, including:
Building, testing, and deploying AI agents that autonomously handle repetitive clinical research workflows — including data monitoring, anomaly flagging, automated Python‑based report generation, and stakeholder notifications
Leveraging AI‑assisted development tools and publicly available LLMs to design, build, and iterate on analytical pipelines and automation solutions with speed and precision
Designing and implementing predictive models and machine learning algorithms using frameworks such as scikit‑learn and TensorFlow to anticipate study risks and detect data quality issues proactively
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📌 Clinical Data Scientist — AI (Madrid)
🏢 Pivotal
📍 Madrid