Postdoctoral Research Associate - Center for Complex Network Research

About the Opportunity

SUMMARY

The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine learning/AI, and science of science, as well as quantifying art. The BarabásiLab'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. The BarabásiLab is also looking for Postdoctoral Research Associates in the areas of network medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with the Harvard Medical School and Brigham and Women's Hospital.

RESPONSIBILITIES

The Postdoctoral Research Associate will

• Assist with initiating, executing, and completing clinical research and experiments
• Prepare and write research papers, presentations, grant proposals, etc.
• Assist with laboratory management; and training graduate students.

QUALIFICATIONS

PhD required in nutrition, bioinformatics, physics, computer science, mathematics, or statistics or related field. The BarabásiLab is 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 working experience in network science/bioinformatics and ML/AI/DL.

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includesmedical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

Expected Hiring Range:

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.