Clinical Research Coordinator
Spaulding Rehabilitation
Site: The General Hospital Corporation
The Clinical Research Coordinator will contribute to the design and execution of observational medical AI studies and pragmatic clinical trials that leverage advanced data science methods and artificial intelligence technologies. This position involves substantial work in the clinical environment — including the perioperative area, intensive care unit, and general medical floors — and requires close interaction with patients/research participants, anesthesiologists, surgeons, critical care physicians, and nursing staff. In addition, the role includes meaningful engagement in AI and data science activities, such as supporting data collection, preprocessing, and analysis for machine learning–driven clinical research.
Under the general supervision of Dr. Alexander Nagrebetsky (Clinical) and Dr. Hao Deng (Artificial Intelligence), the successful candidate will be a core member of a multidisciplinary research team. While this is primarily a clinically focused role, it also offers significant opportunities to engage with cutting-edge AI and data science projects — including exposure to algorithm development, data analysis workflows, and machine learning applications in medicine. We are committed to advancing both medical data science and clinical care, and to supporting your professional growth at the intersection of patient-centered medical research and innovative technology.
Responsibilities:
-Assists with screening across multiple ICUs and procedural/operating room areas, maintaining a screening log, and recruiting patients for clinical trials
-Provides basic explanation of study and for some studies, obtains informed consent from subjects
-Collects & organizes patient data from medical records, research subjects, physicians, etc.
-Enters research data into study electronic data capture system
-Assists with reconciliation of data queries
-Participates in data analysis and presentation of results
-Maintains research records and databases
-Updates study forms per protocol
-Assists with conducting and documenting research subject study visits. -Performs study procedures, which may include phlebotomy (if willing to take phlebotomy training).
-Assists with the maintenance of regulatory binders and QA/QC procedures
-Assists with interviewing study subjects
-Administers and scores questionnaires
-Assists with study regulatory submissions to the IRB, FDA, and regulatory bodies
-Performs administrative support duties or other duties as assigned.
-Takes responsibility for adherence to IRB approved protocols.
-Receives Human subject protection Certification (CITI, Good Clinical Practice Certification or equivalent)
-Supports AI and data science components of ongoing projects, including preparation, cleaning, and anonymization of clinical datasets for algorithm development.
-Collaborates with other research staff and data scientists on exploratory analyses, model performance assessments, and integration of AI-driven insights into clinical study workflows.
-Learns and applies basic data science tools (e.g., Python, R, or statistical software) to support machine learning–based research in perioperative and critical care medicine.
Skills/Abilities Required:
-Exceptional attention to detail, organization, and time management.
-Strong communication skills and ability to follow complex protocols.
-Willing to work off hours when needed per protocol.
-Proficiency with computer science; interest in data management, analysis, and AI/machine learning applications in healthcare.
-Willingness to learn programming and data tools (e.g., Python, R, SQL) to support research.
-Knowledge of clinical research processes and regulatory compliance.
-Professionalism, respect for patient rights, and strict confidentiality.
-Demonstrated respect, empathy, and professionalism in working with patients and upholding subjects’ rights.
-Flexible schedule per study needs; able to work independently and in a team.
Education/Experience:
-Bachelor’s degree required, preferably in a health science, computer science, bio-engineering, or related quantitative field.
-Background in critical care research or clinical research in inpatient settings, biomedical engineering, clinical data science, or a related interdisciplinary discipline strongly preferred.
-Coursework or experience in statistics, programming (e.g., Python, R), or machine learning in healthcare data is a plus.
Following established policies, procedures, and study protocols, provides assistance on clinical research studies, including recruiting, evaluating, and consenting patients for studies; collecting and organizing patient data; scheduling patients for study visits; performing clinical tests such as phlebotomy, EKGs, etc.; maintaining and updating data generated by the study. Candidates who are in the process of completing their bachelor's degree have a grace period of six months from their hire date (up to 1 year if starting per diem) to provide degree equivalency verification.
Does this position require Patient Care?
No
Essential Functions
-Reviews proposals for compliance with sponsor and organizational guidelines; verify all sponsor requirements are met.
-Recruiting patients for clinical trials, conducts phone interviews.
-Verifies the accuracy of study forms and updates them per protocol.
-Prepares data for analysis and data entry.
-Documents patient visits and procedures.
-Assists with regulatory binders and QA/QC Procedures.
-Assists with interviewing study subjects.
-Assists with study regulator submissions.
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.
The Clinical Research Coordinator will contribute to the design and execution of observational medical AI studies and pragmatic clinical trials that leverage advanced data science methods and artificial intelligence technologies. This position involves substantial work in the clinical environment — including the perioperative area, intensive care unit, and general medical floors — and requires close interaction with patients/research participants, anesthesiologists, surgeons, critical care physicians, and nursing staff. In addition, the role includes meaningful engagement in AI and data science activities, such as supporting data collection, preprocessing, and analysis for machine learning–driven clinical research.
Under the general supervision of Dr. Alexander Nagrebetsky (Clinical) and Dr. Hao Deng (Artificial Intelligence), the successful candidate will be a core member of a multidisciplinary research team. While this is primarily a clinically focused role, it also offers significant opportunities to engage with cutting-edge AI and data science projects — including exposure to algorithm development, data analysis workflows, and machine learning applications in medicine. We are committed to advancing both medical data science and clinical care, and to supporting your professional growth at the intersection of patient-centered medical research and innovative technology.
Responsibilities:
-Assists with screening across multiple ICUs and procedural/operating room areas, maintaining a screening log, and recruiting patients for clinical trials
-Provides basic explanation of study and for some studies, obtains informed consent from subjects
-Collects & organizes patient data from medical records, research subjects, physicians, etc.
-Enters research data into study electronic data capture system
-Assists with reconciliation of data queries
-Participates in data analysis and presentation of results
-Maintains research records and databases
-Updates study forms per protocol
-Assists with conducting and documenting research subject study visits. -Performs study procedures, which may include phlebotomy (if willing to take phlebotomy training).
-Assists with the maintenance of regulatory binders and QA/QC procedures
-Assists with interviewing study subjects
-Administers and scores questionnaires
-Assists with study regulatory submissions to the IRB, FDA, and regulatory bodies
-Performs administrative support duties or other duties as assigned.
-Takes responsibility for adherence to IRB approved protocols.
-Receives Human subject protection Certification (CITI, Good Clinical Practice Certification or equivalent)
-Supports AI and data science components of ongoing projects, including preparation, cleaning, and anonymization of clinical datasets for algorithm development.
-Collaborates with other research staff and data scientists on exploratory analyses, model performance assessments, and integration of AI-driven insights into clinical study workflows.
-Learns and applies basic data science tools (e.g., Python, R, or statistical software) to support machine learning–based research in perioperative and critical care medicine.
Skills/Abilities Required:
-Exceptional attention to detail, organization, and time management.
-Strong communication skills and ability to follow complex protocols.
-Willing to work off hours when needed per protocol.
-Proficiency with computer science; interest in data management, analysis, and AI/machine learning applications in healthcare.
-Willingness to learn programming and data tools (e.g., Python, R, SQL) to support research.
-Knowledge of clinical research processes and regulatory compliance.
-Professionalism, respect for patient rights, and strict confidentiality.
-Demonstrated respect, empathy, and professionalism in working with patients and upholding subjects’ rights.
-Flexible schedule per study needs; able to work independently and in a team.
Education/Experience:
-Bachelor’s degree required, preferably in a health science, computer science, bio-engineering, or related quantitative field.
-Background in critical care research or clinical research in inpatient settings, biomedical engineering, clinical data science, or a related interdisciplinary discipline strongly preferred.
-Coursework or experience in statistics, programming (e.g., Python, R), or machine learning in healthcare data is a plus.
Job Summary
SummaryFollowing established policies, procedures, and study protocols, provides assistance on clinical research studies, including recruiting, evaluating, and consenting patients for studies; collecting and organizing patient data; scheduling patients for study visits; performing clinical tests such as phlebotomy, EKGs, etc.; maintaining and updating data generated by the study. Candidates who are in the process of completing their bachelor's degree have a grace period of six months from their hire date (up to 1 year if starting per diem) to provide degree equivalency verification.
Does this position require Patient Care?
No
Essential Functions
-Reviews proposals for compliance with sponsor and organizational guidelines; verify all sponsor requirements are met.
-Recruiting patients for clinical trials, conducts phone interviews.
-Verifies the accuracy of study forms and updates them per protocol.
-Prepares data for analysis and data entry.
-Documents patient visits and procedures.
-Assists with regulatory binders and QA/QC Procedures.
-Assists with interviewing study subjects.
-Assists with study regulator submissions.
Qualifications
Education
Bachelor's Degree Science required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Some relevant research project work 0-1 year preferred
Knowledge, Skills and Abilities
- Careful attention to detail and good organizational skills.
- Ability to follow directions.
- Good interpersonal and communication skills.
- Computer literacy.
- Working knowledge of clinical research protocols.
- Ability to demonstrate respect and professionalism for subjects' rights and individual needs.
Additional Job Details (if applicable)
Remote Type
Hybrid
Work Location
55 Fruit Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$19.76 - $28.44/Hourly
Grade
5
EEO Statement:
The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
Confirmar seu email: Enviar Email
Todos os Empregos de Spaulding Rehabilitation