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Postdoc In Network Science Jobs (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

$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 ...

OpenEye Scientific

We are passionate about science and about taking care of our team members, with leaders supporting ... PhD. with PostDoc in an area related to structure-based ligand design methods. * 3 or more years of ...

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

As of Jun 22, 2026, the average yearly pay for postdoc in network science in the United States is $66,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $77,500.00 per year, depending on experience, location, and employer.

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.

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

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 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.
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Infographic showing various Postdoc In Network Science job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 75% Full Time, 13% Part Time, 5% Temporary, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $66,802 per year, or $32.1 per hour.
Computational Postdoctoral Scholar - Theodoris Lab

Computational Postdoctoral Scholar - Theodoris Lab

Gladstone

San Francisco, CA

$64K - $76K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 hours ago

Job description

Category:Postdoc
Lab/Area:Theodoris LabDescription:

The laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated postdoctoral fellow with background in deep learning or network inference to join her research program in the Gladstone Institute of Cardiovascular Disease and Gladstone Institute of Data Science and Biotechnology. Our lab is focused on leveraging cutting-edge machine learning and experimental genomics to map the gene networks driving cardiovascular disease and develop network-correcting therapies.

The successful applicant will have the opportunity to develop novel algorithmic architecture to leverage large-scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems. The postdoctoral fellow will have access to large-scale experimental data and state-of-the-art computational infrastructure to accomplish their research goals and will work in highly collaborative environment with computational and experimental biologists, synergizing the strengths of both domains to advance discoveries in network inference algorithms and the mechanisms of gene regulation. The postdoctoral fellow will develop their own research questions and have opportunities for methods development and advancement of computational skills. The postdoctoral fellow will also have opportunities for career development including writing grant applications and manuscripts and presenting their work at conferences. Overall, the fellow will join a highly collaborative team united in the common goal of impacting the lives of patients with cardiovascular disease.

Required Qualifications:

  • PhD in a computational field with experience in deep learning and/or network inference methods

  • Advanced competency in Python and Bash, or equivalent

  • Experience with PyTorch or equivalent and interfacing with GPU hardware would be beneficial

Required Application Materials:

  • Curriculum vitae

  • Cover letter with a brief statement of research background and future goals / interest in the lab

  • Contact information for three references

Salary range (DOE):

$64,480 - $76,980

https://gladstone.org/training/postdocs

Gladstone is committed to improving diversity, equity, and inclusion in science, from trainees to faculty, and is an equal opportunity employer.

Application can be sent to:

christina.theodoris@gladstone.ucsf.edu

Hiring Range:

$64,480 - $76,980 (DOE)


Gladstone Perks & Benefits

  • People-work with talented, committed, and supportive teammates within an organization that values each member of its community.

  • A meaningful place to grow and learn-whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and diverse environment.

  • Healthy work/life balance-you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.

  • Compensation-competitive salary. Title and salary will be commensurate with education and experience.

  • Excellent benefits-generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.

Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.

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