Postdoctoral Research Fellow in Nursing and Care Data Science
- Other
- Other places
- $60 K - $75 K
- Full Time
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Position Summary:
The Christine E. Lynn College of Nursing at Florida Atlantic University, internationally recognized for its role in advancing Caring Science research, is offering postdoctoral fellowships in advanced statistical analyses, scientific and data science research. The areas of focus include: healthy aging across the lifespan, holistic health, health equity, and transforming nursing practice environments. Florida Atlantic University is a research-intensive university with six regional campuses along South Florida's coastline, and the main campus is located in Boca Raton in Palm Beach County. The College of Nursing offers four-degree programs (BSN, MSN, DNP, and PhD) with unique and caring-based curricula and opportunities for interprofessional education with medical, social work, and pharmacy students. Our research advances caring science and forms a crucial part of Florida Atlantic University’s commitment to higher education that is rooted in the arts, sciences, and humanities. The internationally renowned faculty at the College of Nursing is committed to fostering a welcoming environment for all community members. In creating this environment, we strive to attract students, faculty, and staff from diverse backgrounds and life experiences. Florida Atlantic University embodies a culture of strategic and collaborative community engagement that benefits both the institution and the internal and external communities it serves.
Job Description:
The postdoc fellow position is a one-year assignment that may be extended for an additional year pending satisfactory performance and achievement of deliverables. The main research focus will be on data analysis, data science, machine learning, artificial intelligence, and Holistic Health areas in Nursing.
Working alongside an interdisciplinary research team under the direct supervision of Dr. David Newman, Dr. Howard Butcher and Dr. Safiya George, postdoctoral fellows will undertake research in areas such as data science, caring science, cognition, mental health, health-related quality of life, among other health-related fields. The postdoctoral fellow will also assist with research project management and oversight, data analysis, proposal development, dissemination, and manuscript preparation.
Responsibilities:
The fellow will work collaboratively with faculty, staff, other postdocs, and students to develop and test statistical methodologies related to the use of real-world data (e.g., electronic health records and data collected by sensors or other technologies) for improved analysis of patterns in health science and nursing research. Fellows will be expected to publish their work in leading journals and present at major conferences, participate in college seminars, and regularly meet with research faculty and teams. There will also be opportunities to mentor junior team members and provide educational support. The ideal candidate will have a solid statistical and computational background, experience in processing and analyzing large datasets, and excellent communication skills.
The Christine E. Lynn College of Nursing at Florida Atlantic University is seeking scholars committed to supporting students from diverse backgrounds and engaging communities that are underrepresented in higher education. Florida Atlantic University is characterized by a culture of strategic and collaborative community engagement that benefits not only the institution but the diverse internal and external communities it serves as well.
Minimum Qualifications:
-PhD in Nursing, Experimental Psychology, Neuroscience, Computer Science Engineering, or Artificial Intelligence Engineering.Salary:
$60,000 - $75,000 per year.College or Department:
College of NursingLocation:
Boca RatonWork Days and Hours:
NAApplication Deadline:
2023-11-12Special Instructions to Applicant:
This recruitment has been reopened; previous applicants remain under consideration and need not reapply. The position may close without prior notice.