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Network Science Jobs (NOW HIRING)

Duke University

Postdoctoral Associate

Durham, NC · On-site

This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty ...

Duke University

Postdoctoral Associate

Durham, NC

This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty ...

goTenna, Inc.

Network Scientist

Jersey City, NJ · On-site

$130K - $160K/yr

Advanced degree in Computer Science, Computer Engineering, or a related field and at least one (1) year of relevant experience in Computer Networking, Wireless Mesh Networking, and Network ...

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How much do network science jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for network science in the United States is $48.73, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $62.50 per hour, depending on experience, location, and employer.

What are the typical daily tasks of someone working in Network Science?

Professionals in Network Science often spend their days collecting, cleaning, and analyzing large datasets to uncover structures and patterns within complex networks, such as social, biological, or technological systems. They may design models, conduct simulations, visualize networks, and interpret results to inform strategic decisions or support research initiatives. Collaboration with colleagues across various domains, including data scientists, engineers, and subject matter experts, is common to address multidisciplinary challenges. Additionally, network scientists often present findings to stakeholders, prepare reports, and stay current with the latest research and tools in the field.

What does a network scientist do?

A network scientist analyzes complex systems by studying the relationships and interactions within networks such as social, biological, or technological systems. They use tools like graph theory, data analysis, and modeling to understand patterns, optimize performance, and solve problems related to connectivity and information flow.

What are the key skills and qualifications needed to thrive in the Network Science position, and why are they important?

To thrive in Network Science, you need a strong background in mathematics, statistics, computational modeling, and data analysis, usually supported by a relevant degree such as computer science, physics, or engineering. Familiarity with analytical tools like Python, R, Gephi, and network analysis frameworks, as well as experience handling large datasets, is typically required. Excellent problem-solving skills, critical thinking, and effective communication are important soft skills for collaborating on interdisciplinary teams and presenting complex findings. These competencies are crucial for uncovering meaningful patterns, sharing insights, and driving impactful decisions within organizations focused on complex systems.

What jobs can you get with a network technology degree?

A network science degree prepares individuals for roles such as network analyst, network administrator, cybersecurity analyst, or systems engineer. These jobs involve managing and securing computer networks, analyzing network performance, and implementing infrastructure using tools like Cisco or Juniper, often requiring certifications like CCNA or CompTIA Network+.

What is network science about?

Network science is a field that studies the structure and behavior of complex networks, such as social, biological, or technological systems. It involves analyzing connections and interactions using tools like graph theory and data analysis to understand how components relate and influence each other.

What is a Network Science job?

A Network Science job involves analyzing complex networks—such as social, technological, or biological systems—to uncover patterns, relationships, and behaviors. Professionals in this field use graph theory, data science, and machine learning to model and interpret network structures. Common applications include cybersecurity, epidemiology, financial risk analysis, and social influence mapping. Careers in Network Science often require skills in programming, statistical analysis, and visualization tools.

Is networking a high paying job?

Network science jobs, which involve analyzing and modeling complex networks, can offer competitive salaries depending on experience, education, and industry. Roles such as network analysts or data scientists with network expertise often have higher earning potential, especially with advanced skills in programming, data analysis, and certifications. Salary levels vary widely but tend to be above average compared to many other tech-related roles.
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Network Science jobs near you
Infographic showing various Network Science job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,366 per year, or $48.7 per hour.
Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference

Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Posted 21 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

81st of 611 rated colleges and universities

Job description

Position
Details
Title
Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science, building software, and potentially collaborating on applied health sciences projects.
Basic Qualifications
Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong computational skills and expertise in causal inference or network science are desired but not required. Start date and term are negotiable.
Additional Qualifications
Special Instructions
For more information about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/
Contact Information
Hassan Dawood
Contact Email
hdawood@hsph.harvard.edu
Salary Range
$75,000/year
Minimum Number of References Required
2
Maximum Number of References Allowed
5
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