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Phd Science Jobs in Raleigh, NC (NOW HIRING)

Duke Neuroradiology Faculty Physician Opportunity The Department of Radiology at Duke Health is seeking a Neuroradiology faculty member at the Medical Instructor, Assistant Professor, or Associate

Duke Neuroradiology Faculty Physician Opportunity The Department of Radiology at Duke Health is seeking a Neuroradiology faculty member at the Medical Instructor, Assistant Professor, or Associate

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Phd Science information

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$21.9K

$43.3K

$70.6K

How much do phd science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for phd science in Raleigh, NC is $43,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $46,500.00 per year, depending on experience, location, and employer.

What is a PhD in science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

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

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What are the typical career advancement paths for someone with a PhD in science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

Is a PhD worth it in science?

A PhD in science is valuable for careers in research, academia, and specialized industry roles that require advanced expertise and critical thinking skills. However, it often involves several years of study and research, and job prospects can vary depending on the field and geographic location. The decision to pursue a PhD should consider personal career goals and the demand for advanced scientific skills in the job market.

What can a PhD in science get you?

A PhD in science can lead to careers in research, academia, industry, or government, often involving roles such as scientist, researcher, or professor. It demonstrates advanced expertise and critical thinking skills, and may require additional certifications or experience depending on the field and position.

What is the salary of a PhD scientist?

The salary of a PhD scientist varies depending on the industry, experience, and location, but typically ranges from $70,000 to over $120,000 annually. Advanced skills, research experience, and specialized knowledge can lead to higher compensation, especially in biotech, pharmaceuticals, or research institutions.

What jobs can I do with a PhD in science?

A PhD in science qualifies individuals for research scientist, university professor, laboratory manager, or scientific consultant roles. These positions often require strong analytical skills, familiarity with laboratory tools, and the ability to conduct independent research or teach at higher education institutions.

What are popular job titles related to Phd Science jobs in Raleigh, NC?

For Phd Science jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

Infographic showing various Phd Science job openings in Raleigh, NC as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 76% Full Time, 19% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $43,254 per year, or $20.8 per hour.

Senior Data Scientist III

Raleigh, NC • On-site

LexisNexis Risk Solutions
IT Services • 1 - 5K employees

Full-time

Re-posted 5 days ago


Job description

Job Summary:
LexisNexis Risk Solutions is a global provider of information-based analytics and decision tools for professional and business customers. As a Senior Data Scientist, you will lead AI and machine learning model development, analyze extensive datasets, and mentor junior team members while collaborating with cross-functional teams to ensure alignment with business goals.
Responsibilities:
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Leading the development of advanced AI and machine learning models to solve complex business problems.
• Analyzing large datasets to identify patterns and trends that can inform AI development.
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Evaluating and creating new frameworks and defining methodologies and governance.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Working with product leaders to apply data science solutions.
• Leading small- to medium-sized teams (direct or indirect).
Qualifications:
Required:
• Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
• Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
• Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
Company:
LexisNexis Risk Solutions provides information to assist customers in industry and government in assessing, predicting, and managing risk. It is a sub-organization of ChoicePoint. Founded in 2000, the company is headquartered in Alpharetta, USA, with a team of 10001+ employees. The company is currently Late Stage.