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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

Fairfax, VA · On-site

$130 - $160/hr

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 ...

New

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 ...

goTenna Inc

Network Scientist

Phoenix, AZ · On-site

$130 - $160/hr

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 ...

New

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How much do network science jobs pay per hour?

As of Aug 21, 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 is a network science?

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.

What does a network science do?

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 are the key skills and qualifications needed to thrive in network science?

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.

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Network Science jobs near you
Infographic showing various Network Science job openings in the United States as of August 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

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 16 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 620 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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