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Postdoctoral Network Science Jobs (NOW HIRING)

Hourly: $26.63 - $28.89 Position Summary The School of Social and Behavioral Sciences (SSBS) at ... Participate in school-specific and university postdoctoral networking meetings. * Maintain contact ...

... health network, and five centers and institutes that focus on cancer treatment and research ... Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance ...

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How much do postdoctoral network science jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral network science in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Network Scientist, and why are they important?

To thrive as a Postdoctoral Network Scientist, you need a strong background in network theory, data analysis, and advanced quantitative methods, usually supported by a PhD in a relevant field such as physics, computer science, or applied mathematics. Proficiency with programming languages like Python or R, experience using network analysis libraries (e.g., NetworkX, Gephi), and familiarity with statistical or machine learning tools are typically required. Strong problem-solving skills, critical thinking, and effective communication are essential for collaborating with interdisciplinary teams and conveying complex findings. These skills enable rigorous research, impactful insights, and successful contributions to both academic and applied network science projects.

What is the difference between Postdoctoral Network Science vs Postdoctoral Data Scientist?

AspectPostdoctoral Network SciencePostdoctoral Data Scientist
Required CredentialsPhD in Network Science, Computer Science, or related fieldPhD in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research institutesIndustry, tech companies, research labs
Employer & Industry UsagePrimarily academia and research institutionsPrimarily private sector and tech industry
Common Search & Comparison IntentUnderstanding academic research roles in network analysisExploring industry roles in data analysis and machine learning

Postdoctoral Network Science focuses on academic research in network analysis, often within universities and research institutions. In contrast, Postdoctoral Data Scientist roles are industry-focused, emphasizing data analysis, machine learning, and practical applications in tech companies. Both roles require advanced degrees but differ in work environment and industry usage, catering to different career paths in research and industry.

What are some common challenges faced by postdoctoral researchers working in network science, and how can they be addressed?

Postdoctoral researchers in network science often encounter challenges such as managing interdisciplinary collaborations, staying current with rapidly evolving computational tools, and balancing independent research with project team goals. To address these, it's important to actively communicate with collaborators from diverse backgrounds, participate in workshops or seminars to keep skills updated, and set clear research objectives in consultation with supervisors. Developing strong project management and networking skills also helps postdocs thrive in this highly collaborative and dynamic field.

What is a Postdoctoral Network Scientist?

A Postdoctoral Network Scientist is a researcher who has completed their PhD and conducts advanced research in the field of network science. Network science involves studying the structure and dynamics of complex networks, such as social, biological, or technological systems. Postdocs in this area typically analyze large datasets, develop mathematical models, and collaborate with interdisciplinary teams to understand the patterns and behaviors of interconnected systems. Their work often contributes to advancements in fields like epidemiology, neuroscience, or information technology.
Infographic showing various Postdoctoral Network Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 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 yesterday


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 534 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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