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Health Science Research Data Scientist Jobs (NOW HIRING)

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

... for Science, Research Intelligence & Knowledge Discovery Build AI That Helps Advance Human ... Contribute directly to a mission dedicated to advancing science, improving health outcomes, and ...

Roku

Senior Research Data Scientist

Boston, MA

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

RELX

Senior Data Scientist

Philadelphia, PA

... for Science, Research Intelligence & Knowledge Discovery Build AI That Helps Advance Human ... Contribute directly to a mission dedicated to advancing science, improving health outcomes, and ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision ... Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a ...

Roku

Senior Research Data Scientist

New York, NY

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

Roku, Inc.

Sr. Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

LLNL

Data Scientist

Livermore, CA · On-site

Skilled in all aspects of the data science life cycle: feasibility / background research, data exploration, feature engineering, modeling, visualization, deployment. * Fundamental experience ...

Ohio State University

... data including primary data collection through patient and provider interviews; manages ... Experience in a biological/health science research capacity is preferred. Requires successful ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge ...

Roku

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Master's degree or foreign equivalent in Operations Research, Data Science, or related field ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

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Health Science Research Data Scientist information

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How much do health science research data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for health science research data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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For Health Science Research Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Health Science Research Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Philadelphia, PA • On-site

RELX Group plc
Technology, Communication and Media • 10K+ employees
Learn more about RELX Group plcexternal

Full-time

Re-posted yesterday

Key responsibilities

  • Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration.

  • Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.

  • Partner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at scale.

Job description

Senior Data Scientist
AI for Science, Research Intelligence & Knowledge Discovery
Build AI That Helps Advance Human Knowledge
What if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges?
At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society.
Every day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Senior Data Scientist, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.
This is AI with purpose. This is technology in service of scientific progress.
About the Role
As a Senior Data Scientist, you will design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosystem.
You will work on some of the most challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions.
Success in this role requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production-ready AI solutions that create measurable impact.
About the team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline
What You'll Do
  • Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration.
  • Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.
  • Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content.
  • Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision support.
  • Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user impact.
  • Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI workflows.
  • Partner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at scale.
  • Lead technical discovery, influence solution architecture, and guide methodological decisions across initiatives.
  • Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsible AI.
  • Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business challenges.

What We're Looking For
  • Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline.
  • Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments.
  • Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows.
  • Extensive Python programming skills and a track record of building maintainable, production-quality software.
  • Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions.
  • Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement.
  • Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies.
  • Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data.
  • A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact.

Why Join Elsevier
Because your work will matter.
You will help build AI systems that enable researchers to discover knowledge faster, uncover hidden connections, assess evidence more effectively, and accelerate scientific progress around the world.
You will have the opportunity to:
  • Solve some of the most challenging AI problems in science and knowledge discovery.
  • Work with one of the world's richest collections of scientific, biomedical, and scholarly data.
  • Build next-generation AI systems using LLMs, retrieval, knowledge graphs, semantic search, and generative AI.
  • Create trusted technologies that support researchers, clinicians, educators, institutions, and innovators worldwide.
  • Influence how AI is designed, evaluated, governed, and trusted in high-impact scientific environments.
  • Collaborate with exceptional colleagues across data science, engineering, product, research, editorial, and domain expertise.
  • Mentor others while helping shape the future of AI-powered scientific discovery.
  • Contribute directly to a mission dedicated to advancing science, improving health outcomes, and expanding human knowledge.

At Elsevier, AI is not just about what technology can do. It is about what humanity can achieve when knowledge becomes more accessible, discoverable, and actionable.
That is the impact of your work.
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New York, the base pay range is $104,800 - $174,700.If performed in New York City, the base pay range is $114,300 - $190,500.If performed in Rochester, NY, the base pay range is $95,300 - $158,800.If performed in New Jersey, the base pay range is $112,574 - $179,826.This job is eligible for an annual incentive bonus.
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