Medical NLP team – Senior/Principal Data Scientist

Overview

Join Veeva Systems , a pioneer in cloud solutions for the life sciences
industry, as a Senior/Principal Data Scientist focusing on NLP.

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.
You will also collaborate with over 2000 data curators and dedicated team
of software developers and DevOps engineers to refine these models and
deploy them into production environments.

*What You’ll Do*

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Adopt the latest technologies and trends in NLP to your platform
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Develop LLM-based agents capable of performing function calls and
utilizing tools such as browsers for enhanced data interaction and
retrieval.
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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
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Create a robust semantic search functionality that effectively answers
user queries related to various aspects of the data
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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
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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 tasks, metrics,
and perform qualitative and quantitative evaluation
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Utilize cloud infrastructure for model development, ensuring seamless
collaboration with our team of software developers and DevOps engineers for
efficient deployment to production

Company:

Veeva

Qualifications:

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4+ years of experience as a data scientist (or 2+ years with a Ph.D.
degree)
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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.
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Proven experience working with large language models and transformer
architectures, such as GPT, BERT, or similar.
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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

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

Tagged as: Computational Linguistics, France, Industry, Machine Learning, Master Degree, Natural Language Processing, NLP, United Kingdom