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Hybrid Science Jobs in Raleigh, NC (NOW HIRING)

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics ... Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics ... Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

... Hybrid • ARIMA & GARCH • Deep Learning - Neural Network, Recurrent Neural Networks • Database - SQL, Advance SQL, Oracle, NoSQL • Data Science Languages - SAS, SAS Enterprise Miner, R ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding ... Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding ... Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding ... Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding ... Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding ... Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding ... Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization

Showing results 41-60

Hybrid Science information

See Raleigh, NC salary details

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$85

How much do hybrid science jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for hybrid science in Raleigh, NC is $60.37, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $68.70 per hour, depending on experience, location, and employer.

What is a hybrid scientist?

A Hybrid Scientist is a professional who combines expertise from multiple scientific disciplines, often integrating skills from fields such as biology, computer science, engineering, or data analytics. They use interdisciplinary approaches to solve complex problems that cannot be addressed by a single traditional field. Hybrid Scientists are commonly found in areas like biotechnology, environmental science, and artificial intelligence, where the blending of knowledge leads to innovative solutions. Their unique skill set makes them valuable in research, development, and product innovation roles.

What are the key skills and qualifications needed to thrive as a hybrid scientist?

To thrive as a Hybrid Scientist, you need a strong interdisciplinary background combining life sciences, computational skills, and analytical problem-solving, often supported by advanced degrees in fields like bioinformatics, computational biology, or data science. Familiarity with programming languages (e.g., Python, R), data analysis tools, laboratory techniques, and relevant certifications such as GLP or GCP are typically required. Excellent communication, adaptability, and collaboration skills distinguish top performers in this role. These abilities are crucial for integrating diverse scientific domains, driving innovation, and effectively contributing to complex, cross-functional research projects.

How does a hybrid science professional typically collaborate with interdisciplinary teams, and what challenges might arise?

Hybrid Science professionals often work at the intersection of multiple scientific disciplines, such as biology, chemistry, and data science. Collaboration involves frequent communication with specialists from different backgrounds to integrate diverse methodologies and perspectives. One common challenge is bridging terminology gaps and aligning goals across disciplines, which requires strong interpersonal and project management skills. Successfully navigating these collaborations not only advances projects but also broadens your expertise and opens up opportunities for leadership roles.

What is the difference between Hybrid Science vs Data Scientist?

AspectHybrid ScienceData Scientist
Required CredentialsScience degrees, certifications in data analysis, programmingStatistics, computer science, data analysis certifications
Work EnvironmentResearch labs, industry settings, interdisciplinary teamsTech companies, research firms, consulting
Employer & Industry UsageResearch institutions, biotech, environmental agenciesTech, finance, healthcare, marketing

Hybrid Science professionals combine scientific expertise with data analysis skills to interpret complex data in research and industry. Data Scientists focus primarily on analyzing large datasets to inform business decisions. While both roles require strong analytical skills and technical knowledge, Hybrid Science emphasizes interdisciplinary scientific understanding alongside data analysis, making it ideal for research-driven environments.

What cities near Raleigh, NC are hiring for Hybrid Science jobs?

Cities near Raleigh, NC with the most Hybrid Science job openings:

Infographic showing various Hybrid Science job openings in Raleigh, NC as of September 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $125,574 per year, or $60.4 per hour.

Senior Data Scientist II

Raleigh, NC • On-site

LexisNexis
IT Services • 10K+ employees

$104K - $174K/yr

Full-time

Re-posted 4 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Job Description
About the Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role:
Are you looking to develop your Data Scientist career?
Would you enjoy training more junior team members?
We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.
Responsibilities:
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large-scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.
Requirements:
  • Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Strong experience designing and running experiments, including model evaluation and iteration.
  • Experience with generative AI techniques (e.g., prompt engineering, RAG).
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
  • Proficiency in Python and data analysis tools.
  • Strong foundation in statistics, modeling, and large-scale text processing.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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