Link is a pillar in the Veeva system landscape that envisions Connecting life sciences and key people to improve research and care. Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner. These agents will be equipped to perform semantic searches and provide precise answers to predefined queries concerning KOL-related data across various languages and disciplines. Utilizing cloud infrastructure, you will build models capable of information extraction and question answering. You will also collaborate with a dedicated team of software developers and DevOps engineers to refine these models and deploy them into production environments. We want to develop new algorithms to redefine the industry expectations for quality vs. We train ML models empowered by over 2000 curators to meet both the quality and the scale requirements. You can work remotely from anywhere in the Netherlands, the UK, or Spain, but you must be a resident of one of these countries and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate please clarify it in a separate note and we will consider it. Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval Experience with Reinforcement Learning from Human Feedback (RLHF) methods such as Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO)



for training LLMs based on human preferences Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data Deeply understand and analyze our data model per data source and geo-region and interpret model decisions Collaborate with data quality teams to define annotation task metrics, and perform qualitative and quantitative evaluation Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production 4+ years of experience as a data scientist (or 2+ years with a Ph.
D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field ~ Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques ~ Familiarity with large-scale data processing and analysis, preferably within the medical domain ~ Proficiency in Python and relevant NLP libraries (e.g., Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX) ~ Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script ~ Social competence and a team player ~ Agile mindset Experience with training, fine-tuning, and serving Large Language Models Leadership skills and a solid network to help in hiring and growing the team Experience with NoSQL databases, especially MongoDB Familiarity with distributed computing platforms such as Ray and Spark Personal development budget

📌 Remote Machine Learning Data Scientist (Barcelona)
🏢 Veeva Systems
📍 Barcelona