Biomedical Engineering Research Associate: Neuro Data Analytics

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Full time

Benefits offered by this job

Tuition benefits

Pittsburgh bus pass

Fitness center access

Family Concierge Team

Job summary

Carnegie Mellon University’s Biomedical Engineering Department seeks a staff member to advance research on the relationships between neural signals, data analysis, and publication-ready results. The role involves programming, experiments, and presenting findings at local venues or conferences.

The position is located in Pittsburgh, PA, with responsibilities spanning data handling, protocol execution, and collaboration with internal and external partners.

Qualifications

• Bachelor’s Degree required.
• A combination of education and relevant experience may be considered.
• Successful Background Check may be required.

Responsibilities

• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions.
• Attends project meetings.
• Performs research experiments following experimental protocol and procedures.
• Researches and documents information by compiling and maintaining accurate and detailed records.
• Summarizes statistical information for analysis, examination or presentation; writes technical reports.
• May build and validate quantitative models.
• Uses a variety of software packages to input, manipulate, collect and record results or observations.
• Other duties as assigned.

Skills

Data analysis

Programming

Statistical reporting

Documentation

Team collaboration

Education

Bachelor’s Degree

Tools

Python

MATLAB

Job description

Carnegie Mellon University’s Biomedical Engineering Department seeks a staff member to advance research on the relationships between neural signals, data analysis, and publication-ready results. The role involves programming, experiments, and presenting findings at local venues or conferences.

The position is located in Pittsburgh, PA, with responsibilities spanning data handling, protocol execution, and collaboration with internal and external partners.