Research Assistant

About the Opportunity

The Research Assistant (Neuroinformatics) in the Computational Optics and Translational Imaging (COTI) Lab at Northeastern University will support NIH-funded projects focused on advancing neuroimaging research through the development of open-source software and data-sharing platforms. The role involves developing AI-driven neuroimaging data processing, automation, and open-source packages and libraries for sharing these functionalities with the broader research community. This RA will also contribute to web development and database management for the data sharing portal website.

QUALIFICATIONS:

• The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. 

• A solid foundation in machine learning, large-data processing and software development, including Python, HTML, CSS, and other web frameworks, is essential.

• Candidates should have excellent skills in software engineering best practices, including version control, unit testing, source code management, documentation, and CI/CD workflows.

• Candidates with prior experience in graphical user interface design, data visualization, and the publication and maintenance of high-quality software projects will be favorably considered.

• Good writing and communication skills are desired.
  

KEY RESPONSIBILITIES AND ACCOUNTABILITIES:

• 45%: Develop automated and AI-driven metadata extraction, query, and data processing pipelines and integrate with the web-based interface.
  25%: Implement and manage backend systems, including database management, metadata indexing, user query, and uploading new datasets for efficient data storage and retrieval.
  20%: Design, develop, and maintain scalable web-based platforms to support large-scale neuroimaging data sharing.

• 10%: Develop documentation, tutorials, and training materials for workshops; contribute to publications.

Position Type

Additional Information

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

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.