Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Were not just any public company – we made history in 2021 by becoming apublic benefit corporation(PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As aWork Anywherecompany, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us intransforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Your role will primarily involve developing LLM-based agents that are specialized in searching and extracting detailed information about Key Opinion Leaders (KOLs) in the healthcare sector. You will craft an end-to-end human-in-the-loop pipeline to sift through a large array of unstructured medical documents—ranging from academic articles to clinical guidelines and meeting notes from therapeutic committees. 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. quantity compromise. We train ML models empowered by over 2000 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.

You can work remotely from anywhere in Portugal, the UK, or Spain, but you must be a resident of one of these countries and be legally authorized to work there without requiring Veevas support for a visa or relocation.

What Youll Do

• Adopt the latest technologies and trends in NLP to your platform
• 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
• Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
• 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

Requirements

• 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
• Masters 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) and experience with bashing script
• 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

Nice to Have

• Background in Medical NLP
• Experience with training, fine-tuning, and serving Large Language Models
• Experience in life/health science industry, notably pharma
• Having published in AI space in a peer-reviewed journal
• Production-grade development Skills
• Leadership skills and a solid network to help in hiring and growing the team
• Experience with NoSQL databases, especially MongoDB
• Familiarity with model registry solutions such as MLflow
• Familiarity with distributed computing platforms such as Ray and Spark

Perks & Benefits

• Work anywhere
• Personal development budget
• Veeva charitable giving program
• Fitness reimbursement
• Life insurance + pension fund

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.

If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at .

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