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Postdoc In Network Science Jobs in Boston, MA (NOW HIRING)

Northeastern University

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

Strong background in network science and graph analytics, including: * Graph modeling and analysis using tools such as NetworkX * Graph-based ML or graph neural networks (GNNs) is a plus * Deep ...

NorthEastern

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

Strong background in network science and graph analytics, including: * Graph modeling and analysis using tools such as NetworkX * Graph-based ML or graph neural networks (GNNs) is a plus * Deep ...

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How much do postdoc in network science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for postdoc in network science in Boston, MA is $72,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $84,200.00 per year, depending on experience, location, and employer.

What is a postdoc in network science?

A Postdoc in Network Science is a researcher who has completed their PhD and is engaged in postdoctoral research focused on the study of complex networks. This includes analyzing and modeling the interconnectedness of systems ranging from social networks to biological and technological networks. Postdocs in this field typically work at universities or research institutes, contributing to scientific projects, publishing research, and sometimes mentoring students. Their work often involves interdisciplinary collaboration, utilizing tools from mathematics, computer science, and physics. The position is usually temporary and intended to further develop research skills and expertise before moving into longer-term academic or industry roles.

What are the key skills and qualifications needed to thrive as a postdoc in network science?

To thrive as a Postdoc in Network Science, you need advanced expertise in mathematics, statistics, and network theory, typically supported by a PhD in a related field. Proficiency with programming languages such as Python or R, experience using network analysis tools (e.g., Gephi, NetworkX), and familiarity with data visualization and machine learning libraries are highly valued. Strong analytical thinking, effective scientific communication, and collaborative skills help you excel in interdisciplinary research environments. These competencies are crucial for producing high-impact research, advancing scientific understanding, and contributing meaningfully to collaborative projects.

What are the typical collaborative opportunities for a postdoc in network science within academic and interdisciplinary research teams?

As a Postdoc in Network Science, you will often work closely with researchers from various disciplines such as computer science, physics, biology, and social sciences. Collaboration is a key aspect of this role, as many projects require expertise in both network theory and domain-specific knowledge. You may participate in joint publications, grant proposals, and interdisciplinary workshops, which not only broaden your research impact but also help you build a diverse professional network. This collaborative environment fosters innovative approaches and can open doors to future academic or industry positions.

How hard is it to get a postdoc in network science position?

Securing a postdoc in network science typically requires a strong research background, relevant publications, and expertise in network analysis tools like graph theory and data modeling. Competition can be high, and candidates often need a Ph.D. in a related field, along with strong recommendation letters and research proposals.

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Postdoc In Network Science jobs near you
Infographic showing various Postdoc In Network Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $72,574 per year, or $34.9 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 26 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 627 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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