127 Research Roles jobs in Maryland

The Armstrong Institute Center for Health Care Human Factors ( ) in the Johns Hopkins University School of Medicine is recruiting a postdoctoral research fellow with expertise in human factors engineering, cognitive psychology, industrial engineering, systems engineering, public health, health services research, anthropology, sociology or a related field. Experience in health care related work is highly desired. Experience or interest in both qualitative and quantitative analysis methods is also desired. The Center for Health Care Human Factors brings together experts in human factors and organizational psychology with an interdisciplinary group of researchers, practitioners and educators to (re)design health care systems and technologies that work for care providers, in order to create efficient and safe care processes, mitigate risk of patient safety, and improve patient outcomes.
The fellow will primarily be working with Dr. Ayse Gurses supporting research projects in a variety of areas such as improving prehospital care delivery, developing EHR based nurse practitioner workload tools, design and implementation of artificial intelligence-based technologies to support frontline care and other and related topics . The fellow will also have the opportunity to collaborate with other interdisciplinary research members of the Armstrong Institute.
Responsibilities:
+ Conduct literature review and summarize findings
+ Utilize knowledge of human factors methodologies, quality literature, theories of innovation and operational expertise to help research team develop goals and strategies to achieve those goals.
+ Assist in the preparation of study protocols and materials and other essential study functions (e.g., IRB).
+ Assist in performing qualitative data collection at multiple sites
o Participate in the development of materials for efficient qualitative data collection.
o Schedule data collection activities
o Recruit study participants; develop recruitment documents (e.g., emails, fliers, etc.,) and facilitate dissemination
o Conduct in-person observations in a variety of care settings
o Conduct in-depth interviews and focus groups with study participants (virtual and in-person) with care professionals and clinicians in different healthcare settings
o Prepare and administer surveys, etc.
+ Assist in the analysis and management of qualitative data collected from sites
o Perform rigorous, computer-assisted qualitative data analysis using software such as NVivo, MAXQDA, Dedoose and other relevant software platforms
+ Author/co-author research manuscripts
+ Identify grant opportunities and assist with grant proposal writing
+ Assist with other relevant work as needed
Minimum qualifications (mandatory):
+ PhD/MD degree or equivalent
+ Formal training and experience in human factors, cognitive psychology, industrial engineering, systems engineering, public health, health services research, anthropology, sociology or other related discipline required.
+ Willing to conduct in-person data collection in a variety of health care settings.
+ Ability and willingness to travel to participating study sites to gather data in site visits.
+ Must be local to the Baltimore, MD area or willing to relocate.
Other requirements (preferred):
+ Demonstrated experience writing peer reviewed publications.
+ Good understanding of both qualitative and quantitative research methodologies
+ Strong interest in conducting field research in health care environments
+ Ability to work independently as well as collaboratively as part of a research team
+ Ability to balance and prioritize tasks, and deliver timely outcomes
+ Excellent problem solving, writing and communication skills
+ Willing to learn about human factors engineering and basic principles under the guidance of the study leads
Special knowledge, skills, abilities and technical qualifications:
+ Strong interest and/or experience in the design and implementation of artificial intelligence based technologies to support frontline care.
+ Expertise and experience in research processes and methodologies including qualitative and quantitative research methods. Strong interest in conducting field research in health care environments.
+ Experience in reviewing literature using common databases, and use of reference software such as Refworks, Endnote and Zotero.
+ Experience in data collection protocols and IRB protocol preparation.
+ Experience with conducting usability evaluations (formative and summative)
+ Experience in research processes and qualitative methodologies for data collection & analysis, with corresponding software experience (e.g. semi-structured interviews, and thematic analysis with NVivo/ MAXQDA).
+ Familiarity with quantitative analysis methods and corresponding software experience (e.g., statistical analysis with SPSS).
+ Familiarity with the healthcare domain and experience conducting research in healthcare.
Salary: $60,000 - $70,000
Application deadline:
+ This position has a starting date in May of 2025. Applicants are encouraged to apply for the position as soon as possible. Applications will be reviewed on a rolling basis.
+ The position is offered for a one-year term, subject to renewal based on performance
Materials to submit:
+ Curriculum Vitae/ Resume
+ Names and contact information for three references
Contact Information:
+ Please email questions to Dr. Ayse Gurses ( ), Cc Patience Osei ( ) and Shay Daodu ( )
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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