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Hybrid Science Jobs in Raleigh, NC (NOW HIRING)

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into ...

Sas

Data Scientist (Emerging Careers)

Cary, NC · On-site

$100 - $140/hr

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

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 ...

New

LexisNexis

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

Capgemini

Data Scientist

Cary, NC · On-site

$85.79 - $97.27/hr

Cary, NC (Onsite/Hybrid from Day 1)**## ** **We are seeking an experienced **Data Scientist** to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced ...

RELX Group plc

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

LexisNexis

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

RELX

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

Eisai, Inc.

QA Specialist (Hybrid)

Raleigh, NC · On-site

$66K - $86K/yr

Education: • Bachelor's degree in a relevant scientific field with 2+ years of related in Quality Assurance in an FDA-regulated industry OR equivalent education and work experience. Technical: • ...

Eisai

QA Specialist (Hybrid)

Raleigh, NC · Hybrid

$66K - $86K/yr

Bachelor's degree in a relevant scientific field with 2+ years of related in Quality Assurance in ... Ability to work a hybrid schedule (a minimum of 3 designated onsite days - T, W, TH) Values ...

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All JobsHybrid Science JobsHybrid Science Jobs in Raleigh, NC

Hybrid Science information

See Raleigh, NC salary details

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$60

$85

How much do hybrid science jobs pay per hour?

As of Aug 20, 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:

Hybrid Science jobs near you
Infographic showing various Hybrid Science job openings in Raleigh, NC as of August 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.

Data Scientist (Emerging Careers)

SAS

Cary, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
You will drive solution development, solution testing, and implementation of SAS customer projects involving artificial intelligence, computer vision and machine learning. You will engage the customer from all levels, including executive and business sponsor, to drive processes, adoption, and ensure project success. You will research and develop high-quality demos to illustrate the application of computer vision in solving practical problems. You will work closely with a team of SAS experts with diversified skillset to meet the needs of SAS customers. You will work collaborate with R&D and product management teams to improve SAS solutions and analytical products based on customer project experience.
You should have a strong passion for solving SAS customer problems and enjoy spending your time and effort on sharpening your skills and extending your knowledge. You should be curious and adaptable - this is an evolving space, things will change. Finally, we expect you to be authentic and accountable - work hard, be committed to excellence, and deliver results.
Our team leads the design, development, and implementation of AI models for SAS customers across many industries such as manufacturing, consumer package goods, retail, and life science among others.
As a Data Scientist, you will:
  • Drive the development, testing, and implementation of AI-centric SAS models.
  • Identify customer use cases and contribute to the model development strategy.
  • Partner with our engineering and product management teams to refine SAS model offerings.
  • Foster strong collaborations with customers, partners, sales, and pre-sales.

Required qualifications
  • Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience.
  • Strong research background in computer vision or machine learning model development
  • Experience in using open-source solutions to solve computer vision and machine learning problems.
  • Strong coding skills, preferably in Python or SAS
  • Experience in PyTorch or TensorFlow
  • Excellent written and verbal communication skills
  • Ability to perform in both team and individual environments
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
  • Location: Cary, HQ Hybrid (minimum of 3 days in the office per week).

Preferred qualifications
  • Experience in practical implementations of computer vision projects in industry and communicating directly with customers at different levels
  • Experience in deployment using Nvidia CUDA Toolkit
  • Experience with containers and Kubernetes
  • Experience working on external customer projects

World-class benefits
Highlights include...
  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

You are welcome here.
At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
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