Job openings in the Barabási Lab

Position Summary

The Data Visualization Research Specialist must possess a unique ability to represent visually complex network data prepared by an interdisciplinary group of physicists, biologists, and computer scientists using various forms of visual design and software development programs. Must be able to use creativity and professional judgment in order to resolve design and technical challenges. Must be adaptable to a constantly evolving collaborative and interdisciplinary workflow.


PRINT: Create figures ready for scientific publications, presentations, exhibitions, and sharing online (Photoshop, Illustrator, Indesign)

INTERACTIVE: Work on a wide range of 2D and 3D interactive media including websites, data visualizations, and vr/ar applications (Html5, Css4, D3, Three.js, AngularJS, python, flask)

3D: Prepare 3D models for the 3D printing pipeline or interactive applications. Create renderings for print and video (Maya, Renderman)

VIDEO: Create time-based media to accompany and document research (Premiere, After Effects)

Basic Qualifications

• Bachelor's degree in design or a related field
• 4-6 years experience with Adobe Creative Suite Software
• 4-6 years experience with Web Development/Management
• Experience in the complete product development lifecycle of successfully launched web and/or software applications is

Interested candidates may apply here:

Learn more & applyemail

Position Summary

The lab of Professor Albert-László Barabási, together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University, is looking for postdoctoral research associates in the area of nutrition, biological networks, machine learning/AI, and science of science. The BarabasiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression, biomarker discovery, and drug repurposing, as well as understanding the emergence of impact in art and science.

Basic Qualifications

We are seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from a network perspective. The ideal candidate has a nutrition, bioinformatics, physics, computer science, mathematics, or statistics Ph.D., and a working experience in network science/bioinformatics and ML/AI/DL.


Interested candidates may apply for the position here:

Learn more & applyemail


   “You are what you eat” (Jean Anthelme Brillat-Savarin). No Poverty, Zero Hunger, and Good Health are the top three UN’s Sustainable Development Goals to transform our world. Food is a driver of well-being, affordable nutrition, and living a healthy life. In this internship, the intern will work with the experts in the Center for Complex Networks Research toward fixing the food system in areas ranging from food processing and supply chain to consumption patterns and the prevalence of metabolic diseases. The ideal intern will be proficient in python, have experience with data science, and display an unquenchable thirst for knowledge. Experience with NLP and machine learning is preferred.

  • This is an unpaid internship
  • Application deadline: it is open until filled
  • Internship duration: 3 months

To Apply, submit

  1. CV
  2. e-mail address
  3. A brief statement on the applicant's experience with machine learning (150 words max)
  4. A brief statement on experience with NLP (150 words max)

submission link:

Learn more & applyemail