Research Study Assistant II- Sleep Medicine

Henry Ford Health•Novi, MI

12d•Onsite

About The Position

We're looking for a detail-oriented and compassionate Research Study Assistant II to join our Sleep Medicine research team in Novi, Michigan. In this role, you will provide essential support to our sleep medicine research initiatives by managing data collection, maintaining accurate documentation, and assisting with the analysis and interpretation of research findings. The successful candidate will demonstrate strong analytical skills, attention to detail, and the ability to work efficiently within a collaborative research environment while adhering to established protocols and regulatory requirements specific to sleep medicine research.

Requirements

Proven experience in research support, data collection, or laboratory/clinical research environments, preferably in sleep medicine or related fields
Strong proficiency in data management, organization, and documentation practices
Demonstrated ability to analyze and interpret research data accurately
Solid understanding of research methodologies and study design principles
Excellent attention to detail with strong organizational and time management skills
Proficiency with computer systems and data management software
Strong written and verbal communication skills
Ability to work independently and collaboratively within a research team
Knowledge of compliance, regulatory requirements, and ethical standards in research
Familiarity with sleep medicine terminology, concepts, and sleep disorder assessment tools
Experience with sleep study protocols or polysomnography (PSG) data collection and analysis
Experience working with patient populations in clinical or research settings
Understanding of sleep-related regulatory requirements and ethical considerations in human subjects research
High School Diploma or G.E.D. equivalent.
Three (3) years of work experience, with a minimum of two (2) years research and/or healthcare experience.
OR
Associates degree in a research or healthcare related field.
One (1) year of research and/or healthcare experience.

Nice To Haves

Familiarity with statistical analysis software (such as SPSS, R, or Python)
Experience with research databases and literature management tools
Project management experience or demonstrated ability to manage multiple tasks simultaneously
Background in grant writing or proposal development

Responsibilities

Assist in designing and implementing sleep medicine research methodologies, including polysomnography (PSG) data collection procedures and clinical study protocols
Collect, organize, and maintain research data using appropriate documentation systems, databases, and sleep-specific data management tools
Perform data entry, verification, and quality assurance to ensure accuracy and completeness of sleep study records and participant information
Support data analysis activities by preparing datasets, running statistical analyses, and generating preliminary reports related to sleep medicine findings
Maintain detailed and accurate records of all research activities, including participant consent forms, sleep assessments, study progress, and regulatory documentation
Assist in literature reviews and compile relevant sleep medicine research materials to support ongoing studies
Coordinate with research team members, clinical staff, and study participants to ensure timely completion of study milestones and deliverables
Monitor compliance with institutional policies, ethical guidelines, and regulatory requirements specific to sleep medicine research throughout the study process
Prepare research summaries, presentations, and documentation for team meetings and stakeholder communications
Troubleshoot data-related issues and implement corrective actions as needed to maintain data integrity
Support the preparation of grant proposals, progress reports, and other research documentation related to sleep medicine studies
Demonstrate empathy and professionalism when interacting with study participants, ensuring their comfort and understanding throughout the research process