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Complex Networks Jobs (NOW HIRING)

TekShapers

: Sr Network Engineer

Sandy, UT · On-site

$98K - $135K/yr

Experience in leveraging scripting languages and automation to simplify and support complex networks. * This can include the use of Python, Ansible, and Terraform. * Bachelor's degree in Computer ...

Sphinx Solutions, Inc.

Network Architect

Herndon, VA · On-site

$66.50 - $89.25/hr

... MPLS networks • Ability to learn, understand and implement new technologies • Independent learner with a proven ability to master complex technical concepts through self-study and practice ...

CFS

Systems Administrator

Lancaster, OH · On-site

$80K - $95K/yr

Plans, designs, and implements complex networks. Provides technical support for network activities. Responsible for analysis, implementation, and support of hardware, software, and systems. Programs ...

Eclaro

Network Architect

Lancaster, PA · On-site

$170K - $180K/yr

Five years' experience designing complex networks configured with high availability * Managing Cisco routers & switches, wireless technologies, cabling systems, firewalls, UPS power systems, SNMP

Eclaro

Network Architect

Orange, CA · On-site

$170K - $180K/yr

Five years' experience designing complex networks configured with high availability * Managing Cisco routers & switches, wireless technologies, cabling systems, firewalls, UPS power systems, SNMP

Eclaro

Network Architect

Orange, CA · On-site

$170K - $180K/yr

Five years' experience designing complex networks configured with high availability Managing Cisco routers & switches, wireless technologies, cabling systems, firewalls, UPS power systems, SNMP ...

NAVA Software Solutions

Network Architect

Houston, TX · On-site

$59.75 - $80/hr

Houston TX (1 day/week onsite) Duration: 6-12 months Strong knowledge and experience of designing complex networks, integrating network systems. Strong experience working with Cisco networking ...

Versa Networks

Solution Architect - Federal

$180K - $225K/yr

Excellent hands-on skills in deploying and troubleshooting complex networks. * Willingness to help customers, peers and other team members at any time. Location: Washington DC, Maryland, Virginia

Nava Software Solutions

Network Architect

Houston, TX · On-site

$61.75 - $82.75/hr

Houston TX (1 day/week onsite) Duration: 6-12 months Strong knowledge and experience of designing complex networks, integrating network systems. Strong experience working with Cisco networking ...

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Complex Networks information

What are complex networks?

Complex networks are interconnected systems characterized by non-trivial topological features, such as irregular patterns of connections and dynamic interactions among their elements. Examples include social networks, biological networks, transportation networks, and the internet. Researchers study complex networks to understand how their structure affects function, robustness, and the spread of information or diseases. This field combines tools from mathematics, physics, computer science, and engineering to model, analyze, and predict the behavior of real-world networks.

How do professionals working in Complex Networks typically collaborate with interdisciplinary teams, and what skills support effective teamwork?

Professionals in Complex Networks often work alongside experts in fields such as data science, mathematics, computer science, and engineering to analyze and interpret interconnected systems. Effective collaboration relies on strong communication skills, an ability to translate complex concepts for non-specialists, and a willingness to integrate diverse perspectives. Regular meetings, collaborative research projects, and shared data analysis platforms are common, fostering cross-disciplinary innovation and problem-solving. Being adaptable and open to learning from other domains is essential for success in these environments.

What are the key skills and qualifications needed to thrive as a Complex Networks Analyst, and why are they important?

To thrive as a Complex Networks Analyst, you need a strong background in mathematics, statistics, and network theory, often supported by a degree in computer science, physics, or engineering. Familiarity with analytical tools like Python, R, Gephi, and relevant data visualization or simulation software is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and presenting findings to diverse stakeholders. These competencies enable professionals to analyze intricate systems, identify patterns, and drive data-informed decisions across various industries.

What is the difference between Complex Networks vs Data Scientist?

AspectComplex NetworksData Scientist
Required CredentialsDegree in Computer Science, Mathematics, or related fields; knowledge of network theoryDegree in Computer Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentResearch labs, academia, tech companies focusing on network analysisBusiness, tech firms, finance, healthcare analyzing large datasets
Industry UsageNetwork analysis, social network research, infrastructure modelingPredictive modeling, data analysis, machine learning applications

Complex Networks specialists focus on analyzing and modeling interconnected systems like social, biological, or technological networks. Data Scientists work with large datasets to extract insights, build models, and support decision-making. While both roles require strong analytical skills and programming knowledge, their primary focus and industry applications differ, with Complex Networks centered on network structures and Data Scientists on data-driven insights.

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Complex Networks jobs near you
Post Doc - Open Rank

Post Doc - Open Rank

University of Massachusetts Medical School

Worcester, MA • On-site

$62K - $75K/yr

Full-time

Posted 5 days ago

Job description

Postdoc in Causal Inference of Complex Gene Networks

We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal causal networks that govern cellular behavior from large-scale single-cell datasets. Our group has pioneered computational approaches for:

  • Inferring causal networks from Perturb-seq (interventional single-cell CRISPR screens).
  • Mapping dynamic network rewiring from joint scRNA-seq + scATAC-seq.
  • Identifying state-specific causal networks from population-scale scRNA-seq.

We approach single-cell biology as a high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative skills and curiosity about complex systems.

Position Overview

You will design, implement, and apply new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi-modal data. This role offers high independence, rapid idea testing, and close collaboration with an interdisciplinary team.

If you are excited about tackling problems in complex networks, causal inference, and high-dimensional systems, and applying them to understand how molecular interactions drive cell states and transitions, this is an excellent fit.

Key Responsibilities
  • Develop accurate and scalable algorithms for inferring multi-modal, condition-dependent networks from datasets with millions of samples (cells) between tens of thousands of nodes (genes and genetic features).
  • Apply these algorithms on existing and new datasets to uncover biological principles and insights across molecular, cellular, and population levels.
  • Build open-source, user-friendly software tools for the community.
  • Disseminate findings through peer-reviewed publications, user-friendly software packages, and academic presentations.
  • Collaborate with other group members and research groups as needed.

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