Senior/Principal Data Scientist - NLP (Remote) - United Kingdom

TN United Kingdom; London; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading company in the life sciences sector is seeking a Senior/Principal Data Scientist specializing in NLP. The role involves developing LLM-based agents for extracting healthcare information and requires strong expertise in NLP and machine learning. The position offers a flexible work environment and various benefits, including a personal development budget and fitness reimbursement.

Benefits

Personal development budget

Veeva charitable giving program

Fitness reimbursement

Life insurance

Pension fund

Qualifications

• At least 4 years of experience as a data scientist or 2+ years with a Ph.D.
• Strong knowledge of NLP, Machine Learning, and Deep Learning.
• Experience with large language models and transformer architectures.

Responsibilities

• Develop LLM-based agents for healthcare sector information extraction.
• Create semantic search functionalities for user queries.
• Collaborate with software developers and DevOps engineers.

Skills

NLP

Machine Learning

Deep Learning

Python

Collaboration

Education

Master's or Ph.D. in Computer Science

Ph.D. in Computational Linguistics

Tools

NLTK

SpaCy

Hugging Face

PyTorch

JAX

Docker

Kubernetes

Ray

Spark

Job description

Senior/Principal Data Scientist - NLP (Remote) - United Kingdom, London

Veeva is a mission-driven organization dedicated to helping our customers in Life Sciences and Regulated industries bring their products to market faster. We value doing the right thing, customer success, employee success, and speed. Our teams develop transformative cloud software, services, consulting, and data solutions to enhance efficiency and effectiveness. Veeva supports a flexible work environment—work from home, at a customer site, or in an office.

Our product connects life sciences and key stakeholders to improve research and healthcare. It offers real-time academic, social, and medical data to build comprehensive profiles, aiding our industry partners in accelerating therapeutics development and clinical trials, ultimately helping patients receive urgent care sooner.

Role Overview

You will develop LLM-based agents specialized in searching and extracting detailed healthcare sector information about Key Opinion Leaders (KOLs). This includes creating an end-to-end human-in-the-loop pipeline to analyze unstructured medical documents (academic articles, clinical guidelines, meeting notes). These agents will perform semantic searches and provide precise answers across multiple languages and disciplines, utilizing cloud infrastructure for model development and deployment. Collaboration with software developers and DevOps engineers is essential.

Key Responsibilities

1. Adopt the latest NLP technologies and trends in your platform.
2. Develop LLM-based agents capable of function calls and tool utilization (e.g., browsers).
3. Apply Reinforcement Learning from Human Feedback (RLHF) methods like DPO and PPO for training LLMs based on human preferences.
4. Design and implement pipelines to extract information from large-scale, unstructured, multi-domain, multilingual data.
5. Create semantic search functionalities to answer user queries effectively.
6. Develop and utilize techniques such as named entity recognition, entity linking, slot-filling, few-shot learning, active learning, question answering, and dense passage retrieval.
7. Analyze data models per source and region, and interpret model decisions.
8. Collaborate with data quality teams to define metrics and evaluate models qualitatively and quantitatively.
9. Utilize cloud infrastructure for development and work with teams to deploy models into production.

Minimum Requirements

1. At least 4 years of experience as a data scientist (or 2+ years with a Ph.D.).
2. Master's or Ph.D. in Computer Science, AI, Computational Linguistics, or related fields.
3. Strong knowledge of NLP, Machine Learning, and Deep Learning.
4. Experience with large language models and transformer architectures (e.g., GPT, BERT).
5. Familiarity with large-scale data processing, preferably in the medical domain.
6. Proficiency in Python and NLP libraries (NLTK, SpaCy, Hugging Face).
7. Experience with BigData frameworks (Ray, Spark) and Deep Learning frameworks (PyTorch, JAX).
8. Experience with cloud services (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
9. Strong collaboration and communication skills, adaptable to startup environments.
10. Social competence, team-oriented, high energy, ambitious, and agile mindset.

Nice to Have

• Background in Medical NLP.
• Experience with training, fine-tuning, and serving LLMs.
• Experience in the life/health science industry, particularly pharma.
• Publications in AI peer-reviewed journals.
• Production-grade development skills.
• Leadership skills and a network for hiring and team growth.
• Experience with NoSQL databases like MongoDB.
• Familiarity with model registry solutions such as MLflow.
• Experience with distributed computing platforms like Ray and Spark.

Perks & Benefits

• Personal development budget.
• Veeva charitable giving program.
• Fitness reimbursement.
• Life insurance and pension fund.

Veeva is committed to fostering an inclusive, diverse workforce. If you need assistance or accommodations during the application process, please contact us.