AI for Scientific Discovery: Data Scientist II

RXinsider LTD.; Philadelphia (Philadelphia County); On-site; USD 72,000 - 119,000; Full time

Job summary

Elsevier is seeking a Data Scientist II to design and deploy AI systems that enhance clinical knowledge discovery and evidence extraction across vast scientific content. You will work with NLP, generative AI, and large-scale data to deliver reliable, production-ready insights for clinicians and researchers.

You will collaborate with cross-functional teams to turn complex clinical challenges into measurable outcomes, write robust Python code, and contribute scalable data pipelines for

Qualifications

• Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area.
• Experience with frontier LLMs such as OpenAI's GPTs, Anthropic's Claude, and Google's Gemini, including fine-tuning LLMs and/or SLMs.
• Strong Python skills and a habit of writing clean, maintainable, well-tested code.
• Solid grasp of ML fundamentals: supervised/unsupervised, feature engineering, model evaluation, selection, and performance measures.
• Experience with structured, semi-structured, or unstructured data, especially large-scale text or clinical/scientific content datasets.
• Familiarity with Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.
• Ability to translate complex requirements into practical, data-driven solutions with strong analytical skills.
• Clear communication and collaboration with engineering, product, clinical, and business stakeholders.

Responsibilities

• Design and build machine learning, NLP, and generative AI systems for clinical knowledge discovery, evidence extraction, decision support, and content understanding.
• Work with large-scale, complex data including clinical documentation, scientific publications, datasets, knowledge graphs, ontologies, timestamps, and content across disciplines.
• Apply techniques like classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.
• Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, QA, and evidence-grounded generation.
• Build, evaluate, fine-tune, prompt, and integrate models into production systems with quality, relevance, reliability, and clinical value.
• Write clean, production-quality Python and contribute reusable DS components, pipelines for preprocessing, inference, experimentation, monitoring, and improvement.
• Support deployment, monitoring, model maintenance, drift detection, and automated retraining of DS systems for clinicians and researchers.

Skills

Python

ML/NLP

Deep learning

Communication

Tools

Pandas

NumPy

SciPy

PyTorch

TensorFlow

Job description

Elsevier is seeking a Data Scientist II to design and deploy AI systems that enhance clinical knowledge discovery and evidence extraction across vast scientific content. You will work with NLP, generative AI, and large-scale data to deliver reliable, production-ready insights for clinicians and researchers.

You will collaborate with cross-functional teams to turn complex clinical challenges into measurable outcomes, write robust Python code, and contribute scalable data pipelines for