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Data Science Research Assistant Jobs in Philadelphia, PA

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

RELX

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Panoramic Health

Clinical Research Assistant

Media, PA · On-site

... visits, data collection, documentation, and day-to-day research activities. Whether you're ... About Panoramic Science Panoramic Science is the clinical research division of Panoramic Health ...

panoramic

Clinical Research Assistant

Media, PA

... visits, data collection, documentation, and day-to-day research activities. Whether you're ... About Panoramic Science Panoramic Science is the clinical research division of Panoramic Health ...

Temple University

Research Assistant

Philadelphia, PA · On-site

$19.50 - $26.75/hr

Temple University's College of Science & Technology Department is searching for a Research ... Ability to analyze data, troubleshoot experiments, and communicate in writing as well as verbally.

Nemours-Children

Biostatistician- Research

Wilmington, DE · On-site

$85 - $120/hr

Key Responsibilities: * Assist with the design of clinical, epidemiological, and basic science ... Master's degree in Biostatistics, Statistics, Data Science, or a related field * Minimum of 3 years ...

New

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

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 ...

RELX

Senior Data Scientist

Philadelphia, PA · On-site

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 ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

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 ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

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 ...

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All JobsData Science Research JobsData Science Research Assistant JobsData Science Research Assistant Jobs in Philadelphia, PA

Data Science Research Assistant information

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How much do data science research assistant jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science research assistant in Philadelphia, PA is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $25.72 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are popular job titles related to Data Science Research Assistant jobs in Philadelphia, PA?

For Data Science Research Assistant jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Philadelphia, PA look for?

The top searched job categories for Data Science Research Assistant jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Science Research Assistant jobs?

Cities near Philadelphia, PA with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,985 per year, or $22.1 per hour.

Manager Data Science

Elsevier

Philadelphia, PA • On-site

$115K - $192K/yr

Full-time

Re-posted 22 days ago

Elsevier rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

35th of 500 rated business services

Job description

AI for Science, Research Intelligence & Knowledge Discovery
Lead the Teams Building AI That Advances Science
What if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge?
At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians, educators, and institutions to discover evidence, connect ideas, uncover insights, and solve some of the world's most important challenges.
Every day, millions of researchers depend on our products to navigate an ever-growing universe of scientific knowledge. As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem.
This is leadership with purpose. This is AI in service of science.
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.
About the Role
As a Data Science Leader, you will build, develop, and inspire high-performing teams responsible for delivering advanced AI, machine learning, search, retrieval, NLP, and generative AI solutions that power scientific discovery and research intelligence.
You will provide strategic direction, elevate technical excellence, and help shape the future of AI-enabled products used by researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge technology and meaningful impact, you will guide teams solving some of the most complex and intellectually challenging problems in science.
Success in this role requires a balance of technical depth, people leadership, strategic thinking, and a passion for helping others do their best work while advancing a mission that matters.
What You'll Do
  • Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
  • Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access products.
  • Drive the development of AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
  • Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.
  • Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
  • Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
  • Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.
  • Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based systems.
  • Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organization.
  • Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.

What We're Looking For
  • Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
  • Proven success building, coaching, and developing high-performing teams in complex technology or product environments.
  • Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
  • Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
  • Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.
  • Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.
  • Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.
  • Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences.
  • Experience working with large-scale structured, semi-structured, and unstructured data in production environments.
  • A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world impact.

Why Join Elsevier
Because your leadership will matter.
You will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $121,200 - $201,900.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in New Jersey, the base pay range is $136,213 - $217,587.This job is eligible for an annual incentive bonus.
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