Senior/Principal Data Scientist

1 week ago

London, Greater London, United Kingdom Veeva Systems Full time

At Veeva Systems, we're dedicated to helping our customers in the life sciences and regulated industries bring their products to market faster. As a Senior/Principal Data Scientist, you'll be part of our mission-driven organization that values doing the right thing, customer success, employee success, and speed.



Our team develops transformative cloud software, services, consulting, and data to make our customers more efficient and effective. We're a work-anywhere company, and you'll have the flexibility to work from home, at a customer site, or in an office. As a data scientist, you'll be part of a company that's focused on making a positive impact on its customers, employees, and communities.



About Veeva Systems

Veeva Systems is a leading provider of cloud-based software and services for the life sciences industry. Our vision is to connect life sciences and key people to improve research and care. We offer real-time academic, social, and medical data to build comprehensive profiles, helping our customers find the right experts to accelerate the development and adoption of new therapeutics.



Your Role

As a Senior/Principal Data Scientist, you'll primarily focus on developing LLM-based agents that specialize in searching and extracting detailed information about Key Opinion Leaders (KOLs) in the healthcare sector. You'll craft an end-to-end human-in-the-loop pipeline to sift through a large array of unstructured medical documents, from academic articles to clinical guidelines and meeting notes from therapeutic committees.



Our agents will be equipped to perform semantic searches and provide precise answers to predefined queries concerning KOL-related data across various languages and disciplines. You'll work with our dedicated team of software developers and DevOps engineers to refine these models and deploy them into production environments.



Requirements


  • 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
  • Master's or 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
  • Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar
  • Familiarity with large-scale data processing and analysis, preferably within the medical domain
  • Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers)
  • 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)
  • Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team
  • Used to start-up environments
  • Social competence and a team player
  • High energy and ambitious
  • Agile mindset


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