Clinical Data Scientist — AI & Automation
hace 7 horas
Madrid
ppPivotal 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. /ppJoining 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. /ph3Why Pivotal: /h3ulliWe are passionate and fully committed to medical science while leveraging cutting‑edge technology, including AI, to make a positive impact /liliWe provide an exceptional experience. 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 /liliWe are continuously building our company, bringing together diversity of thoughts, backgrounds, cultures, and perspectives to create a place where everyone feels like they belong /li /ulh3Your responsibilities will include: /h3pYou 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: /pulliAnalysing and interpreting complex clinical trial datasets to generate meaningful insights, identify trends, and support evidence‑based decision‑making across therapeutic areas /liliBuilding, 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 /liliLeveraging AI‑assisted development tools and publicly available LLMs to design, build, and iterate on analytical pipelines and automation solutions with speed and precision /liliDesigning 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 /liliDeveloping interactive visualizations, dashboards, and automated Python‑based reports to communicate findings clearly and consistently to both scientific and non‑technical stakeholders /liliEnsuring all AI‑powered solutions comply with applicable regulatory frameworks including GCP, 21 CFR Part 11, and GDPR /liliApplying ethical AI principles in a regulated clinical context, maintaining data governance, auditability, and patient data integrity at every stage /liliCollaborating with data architects, software engineers, biostatisticians, and product development teams to integrate AI solutions into existing clinical research infrastructure /liliSupporting study committee activities by providing timely, rigorous analytical outputs /liliStaying current with advances in AI, agentic systems, and data science methodologies and actively driving their adoption within Pivotal /liliPerforming other assigned duties as needed /li /ulh3Required profile: /h3ulliUniversity degree in Math, Physics, Data Science, Statistics, or a related field /lili4+ years of experience in clinical data science or related roles at a CRO or pharmaceutical company /liliUnderstanding of ICH/GCP guidelines, 21 CFR Part 11, and applicable data privacy regulations. /liliDemonstrated hands‑on experience building AI‑powered workflows, automation pipelines, or agentic systems in a clinical or scientific context /liliFamiliarity with publicly available LLMs, AI agent and orchestration frameworks (e.g., LangGraph), LLM observability and evaluation tools (e.g., LangSmith, LangFuse), and version control practices (Git) /li /ulh3Skills: /h3ulliStrong analytical thinking and ability to translate complex clinical data into actionable insights and scalable automated solutions /liliProficiency in Python for data analysis, automated reporting, and AI agent development; working knowledge of R, SQL, SAS, and data visualization tools /liliSolid understanding of ML frameworks (scikit‑learn, TensorFlow, or similar) for predictive modeling in regulated environments /liliHands‑on experience with modern LLM application stacks — including agent frameworks like LangGraph and observability/evaluation platforms such as LangSmith and LangFuse — to build, monitor, and iteratively improve production‑grade AI workflows /liliDeep commitment to ethical AI, data governance, and regulatory compliance in clinical research /liliGenuine drive to build and innovate, not just adopt existing tools /liliFluency in English (spoken and written) /liliEffective communication, collaborative mindset, and ability to work across multidisciplinary teams /li /ulh3What You Can Expect: /h3ulliA first‑of‑its‑kind role with real ownership — you won't be maintaining legacy processes, you'll be building new ones /liliCareer growth resources and flexible work schedules /liliTraining to enhance both therapeutic knowledge and cutting‑edge AI and data science tool proficiency /liliA forward‑thinking environment where your work directly shapes the future of clinical research at Pivotal /liliExposure to dynamic, international work environments and a wide variety of therapeutic areas /li /ulh3Commitment to Equal Opportunity: /h3pAt Pivotal, we believe that diversity and inclusion are essential to the success of our team. We are committed to providing equal employment opportunities to all candidates, regardless of race, gender, sexual orientation, disability, or any other characteristic. /p /p #J-18808-Ljbffr