Scheduled hours per week: 40
Scheduled months per year: 12
Remote work eligibility: Onsite only
Hiring range: $52,000 to $65,000
Position purpose
The research team of Dr. Madelyn Frumkin is pleased to invite applications to join our exciting and supportive research team for the position of Research Coordinator at Dartmouth College. The Research Coordinator will play a key role in Digital Biomarkers of Postoperative Pain study. This five-year, NIH-funded trial will use ecological momentary assessment (EMA), wearable biosensor, and passive smartphone data to study acute-to-chronic pain transitions after surgery. The objective is to identify modifiable risk factors of chronic post-surgical pain and impairment.
The Research Coordinator will be an integral member of the team at the Center for Technology and Behavioral Health (CTBH) at Dartmouth College and will work in close collaboration with the Principal Investigator, Dr. Madelyn Frumkin. The Research Coordinator will be responsible for assisting with the development of study materials (e.g., IRB materials, Standard Operating Procedures), coordinating participant recruitment and retention, obtaining participant consent, managing data collection, conducting data quality checks, assisting with manuscript preparation, and coordinating overall project operations. The Research Coordinator will work primarily in an office setting in Lebanon, NH.
The successful candidate will excel in communication with study investigators, exhibit strong attention to detail, and possess exemplary organizational skills. The Research Coordinator will work effectively with study leadership and attend and present at meetings. There will be opportunities for the Research Coordinator to publish using lab data. This position is an excellent fit for individuals looking to gain experience with clinical populations, large-scale federally funded research, and/or digital phenotyping.
Key accountabilities
Research Responsibilities
• Collaborates with the PI to prepare IRB applications, NIH reports, and other regulatory submission documents as required.
• Assists in the development of Standard Operating Procedures.
• Manages recruitment processes and activities, including direct contact with participants and supervision of research assistants conducting recruitment and screening activities.
• Communicates with the Principal Investigators and research staff regarding study operations, achievement of study goals, participant recruitment targets, and follow-up retention rates.
• Maintains study files in accordance with federal regulations. Assures that participant and data confidentiality and integrity are maintained.
• Ensures that study activities are carried out in accordance with the IRB-approved protocol. Identifies and participates in the resolution of potential problems in study operations.
• Aids with overall project operations, as needed.
Administrative Activities
• Maintains and updates the lab website.
• Facilitates participant payments and tracks financial expenditures.
• Coordinates lab activities and lab member responsibilities.
• Maintains lab documentation and systems.
Miscellaneous
• Establishes and maintains positive relationships with participants and research staff.
• Aids in the preparation of manuscripts.
• Participates in ongoing training and keeps abreast of developments in the field.
Required qualifications: education and experience
Bachelors or equivalent combination of education and experience
Required qualifications: skills, knowledge and abilities
• Bachelor’s degree in psychology, human services, data science, or a related field.
• 5 years experience or equivalent combination of education and experience.
• Prior experience managing research studies with human subjects
• Meticulous attention to detail; organized, efficient, and able to handle competing priorities.
• Strong interpersonal skills and ability to work independently and as a team member.
Preferred qualifications
• Master’s degree in a related field.
• Experience with research involving pain, ecological momentary assessment (EMA), and/or digital phenotyping.
• Experience with data cleaning and basic analysis using statistical software (e.g., R, Python).