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. We're not just any public company – we made history in 2021 by becoming a public benefit corporation, legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming 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 Veeva's support for a visa or relocation.
What You'll Do Adopt the latest technologies and trends in NLP to your platformDevelop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrievalExperience 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 preferencesDesign, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settingsCreate a robust semantic search functionality that effectively answers user queries related to various aspects of the dataUse 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 readingDeeply understand and analyze our data model per data source and geo-region and interpret model decisionsCollaborate with data quality teams to define annotation task metrics, and perform qualitative and quantitative evaluationUtilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to productionRequirements 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 fieldStrong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniquesProven experience working with large language models and transformer architectures, such as GPT, BERT, or similarFamiliarity with large-scale data processing and analysis, preferably within the medical domainProficiency 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 scriptStrong collaboration and communication skills, with the ability to work effectively in a cross-functional teamUsed to start-up environmentsSocial competence and a team playerHigh energy and ambitiousAgile mindsetNice to Have Background in Medical NLPExperience with training, fine-tuning, and serving Large Language ModelsExperience in life/health science industry, notably pharmaHaving published in AI space in a peer-reviewed journalProduction-grade development SkillsLeadership skills and a solid network to help in hiring and growing the teamExperience with NoSQL databases, especially MongoDBFamiliarity with model registry solutions such as MLflowFamiliarity with distributed computing platforms such as Ray and SparkPerks & Benefits Work anywherePersonal development budgetVeeva charitable giving programFitness reimbursementLife insurance + pension fund#RemotePortugal
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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