Senior/Principal Data Scientist - Nlp (Remote)

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.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 Dev Ops 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 **** 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 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.What You'll DoAdopt 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 Dev Ops engineers for efficient deployment to productionRequirements4+ 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, Spa Cy, Hugging Face Transformers)Experience in at least one framework for Big Data (e.G., Ray, Spark) and one framework for Deep Learning (e.G., Py Torch, 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 HaveBackground 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 No SQL databases, especially Mongo DBFamiliarity with model registry solutions such as MLflowFamiliarity with distributed computing platforms such as Ray and SparkPerks & BenefitsWork anywherePersonal development budgetVeeva charitable giving programFitness reimbursementLife insurance + pension fund

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 Dev Ops engineers for efficient deployment to productionRequirements4+ 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, Spa Cy, Hugging Face Transformers)Experience in at least one framework for Big Data (e.G., Ray, Spark) and one framework for Deep Learning (e.G., Py Torch, 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 HaveBackground 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 No SQL databases, especially Mongo DBFamiliarity with model registry solutions such as MLflowFamiliarity with distributed computing platforms such as Ray and SparkPerks & BenefitsWork anywherePersonal development budgetVeeva charitable giving programFitness reimbursementLife insurance + pension fund