Data Scientist: Analítica Avanzada Con Impacto (Remote) Remote (Eixample)

Kol-related
Barcelona, Spain
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Computational Linguistics DevOps Distributed Systems Information Extraction Python (Programming Language) Machine Learning
+20 more
MongoDB Natural Language Processing NLTK (NLP Analysis) NoSQL Google Cloud Pytorch Large Language Models Apache Spark Deep Learning Question Answering Containerization Kubernetes Information Technology HuggingFace Transformer Architectures Machine Learning Operations Spacy Veeva GPT Docker

Job description

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 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 ** 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,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) 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) 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 #J-***-Ljbffr? Data Scientist: Analítica Avanzada Con Impacto (Remote) - Remote (Eixample)? Agile Engine? Eixample

Requirements

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 ** 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,

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) 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) 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 #J-*****-Ljbffr

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