Research Specialist – Nezami Lab

Site: The Brigham and Women's Hospital, Inc.

 

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

 

 

Job Summary

The Nezami Lab at Brigham and Women’s Hospital (a Harvard Medical School affiliate) is dedicated to advancing surgical innovation and precision medicine through a multidisciplinary approach that combines robotics, control systems, computer vision, and biomedical engineering. Our team integrates cutting-edge research in AI, system modeling, and device design to develop intelligent solutions for complex surgical and clinical applications.

 

Qualifications

We are seeking a talented and motivated Research Specialist with expertise in Computer Vision and control systems design to support the development and evaluation of an innovative medical technology platform. The ideal candidate will play a key role in conducting technical and financial feasibility studies, optimizing system architecture, and contributing to the creation of a preliminary functional prototype.

Key Responsibilities

• Conduct technical feasibility studies and contribute to the system design of robotic and computer vision-based applications
• Implement and test control algorithms for mechanical systems, including feedback and real-time control strategies
• Apply computer vision techniques for image-guided navigation, object detection, and real-time visual tracking
• Evaluate system components from a cost-efficiency perspective and assist in early-stage prototyping
• Collaborate with engineers, clinicians, and researchers to refine system design and translate findings into functional outcomes
• Support documentation and reporting for internal use, grant submissions, and publications

Education
Master's Degree Related Field of Study required. (PhD in Robotics, Electrical/Mechanical Engineering, Biomedical Engineering, or a related field preferred.)

Experience
Experience in an academic or laboratory research setting 3-5 years required

Preferred Qualifications

• Proficiency in control systems design, kinematics, dynamics, and robotic system integration
• Strong experience in computer vision (e.g., OpenCV, ROS, 3D reconstruction, object tracking)
• Hands-on experience with prototyping tools and platforms (e.g., Arduino, Raspberry Pi, MATLAB/Simulink, SolidWorks)
• Familiarity with technical and cost feasibility analysis, project planning, and iterative design
• Self-motivated, detail-oriented, and capable of working both independently and collaboratively

Knowledge, Skills and Abilities
- Must be a problem solver willing to take the initiative and prioritize tasks, thereby ensuring the smooth and efficient conduct of several projects simultaneously.
- Ability to perform a variety of highly specialized cell culture and molecular biology procedures.
- A high degree of computer literacy in order to use various spreadsheet, database, accounting and word processing programs to assist in administrative, grant proposal preparation, and research reporting activities.
- Excellent organizational skills in order to formulate, implement, and monitor a number of interrelated tasks.
- Ability to exercise discretion and good judgment in handling of sensitive and confidential information.
- Ability to work under deadline pressure and prioritize work from several sources.
- Excellent interpersonal skills for internal and external communications.

 

Additional Job Details (if applicable)

 

Remote Type

Hybrid

 

Work Location

20 Shattuck Street

 

Scheduled Weekly Hours

0

 

Employee Type

Per Diem

 

Work Shift

Day (United States of America)

 

Pay Range

$30.41 - $49.33/Hourly

 

Grade

7

 

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimu