research
Posted 4 weeks agoAI Scientist
at H1
Copenhagen, DenmarkRemote
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Requirements
- At H1, we believe access to the best healthcare information is a basic human right.
- To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle.
- Visit h1.co to learn more about us. We are looking for an AI Scientist to join a dedicated team building and evolving a clinical data platform serving the clinical operations space.
- You will design and implement machine learning models that power insights across the clinical trial lifecycle — working with large-scale healthcare datasets spanning publications, clinical trials, medical claims, and provider data.
- You will work at the intersection of machine learning research and production data systems, building models that run at scale and integrate into real-world clinical workflows.
- WHAT YOU'LL DO AT H1 - Design, develop, and deploy machine learning models to extract insights from clinical and healthcare data — including NLP tasks across publications, trial records, and medical claims - Build and optimize ML pipelines on large-scale distributed systems using Apache Spark and cloud-native tools - Work with structured and unstructured data sources to develop predictive models, classification systems, and entity resolution approaches - Collaborate with data engineers to integrate ML
- experience in machine learning, data science, or applied AI roles - Strong proficiency in Python; working knowledge of SQL and R - Deep
- experience with ML frameworks such as TensorFlow and PyTorch - Proven
- experience building and running models on large-scale data pipelines using Apache Spark (PySpark) - Exposure to NLP techniques — including text classification, named entity recognition, information extraction, and transformer-based models - Familiarity with cloud platforms (Azure preferred) and tools such as Databricks, Delta Lake, and Kubernetes -
- Experience working closely with data engineering and MLOps teams in production environments - Background in healthcare, life sciences, pharma, or clinical research is highly preferred - Comfortable working independently in a remote setting with a distributed, cross-timezone team
Experience
- REQUIREMENTS - 5+ years of hands-on
Benefits
- This promotes health equity and builds needed trust in healthcare systems.
Additional details
- Our mission is to provide a platform that can optimally inform every doctor interaction globally.
- You should be comfortable moving from research to implementation in a fast-paced, applied setting.