Job summary
Job post source
This job is directly from Columbia University
Job overview
The Research Assistant role at Columbia University supports an interdisciplinary project using virtual reality to improve treatment preparedness for lung cancer patients, contributing to healthcare research and patient education.
Responsibilities and impact
The Research Assistant will conduct data collection through interviews and surveys, perform systematic reviews, manage qualitative and quantitative data, collaborate on data analysis, support VR module development, and ensure ethical standards and data confidentiality.
Compensation and benefits
The position offers a competitive salary with additional compensation for XR development experience, flexible working hours, and a collaborative work environment.
Experience and skills
Candidates should be current students or recent graduates with experience in mixed-methods research, proficiency in data analysis software, strong organizational and communication skills, and preferably experience with XR development and systematic reviews.
Career development
The role provides opportunities to gain experience in cutting-edge mixed-methods research and VR technology applications in healthcare within a prestigious institution.
Work environment and culture
The work environment is collaborative and supportive, with flexible hours to accommodate academic commitments and a focus on diversity and inclusion.
Company information
Columbia University is a prestigious institution with a School of Nursing engaged in innovative healthcare research projects involving technology and patient care.
Team overview
The candidate will join an interdisciplinary team including lung cancer patients, oncologists, nurses, and support staff, working closely with the Principal Investigator and co-investigators.
Job location and travel
The position is based at Columbia University with remote qualitative interviews conducted via Zoom, offering flexible working hours.
Application process
Applicants must submit a cover letter, resume or CV, and two references by September 31st, 2024, contacting Dr. Safa Elkefi at the Columbia University School of Nursing.
Unique job features
This role is distinguished by its focus on VR technology in healthcare education, mixed-methods research, and additional pay for XR development expertise.
Company overview
Columbia University is a prestigious Ivy League institution located in New York City, known for its rigorous academic programs, pioneering research, and influential alumni. Established in 1754, it is one of the oldest universities in the United States and offers a wide range of undergraduate, graduate, and professional degrees across various disciplines. The university generates revenue through tuition fees, research grants, endowments, and donations. Notable historical milestones include the founding of its renowned journalism school and the development of the Manhattan Project during World War II.
How to land this job
Tailor your resume to emphasize experience in mixed-methods research, data collection, and analysis, highlighting proficiency with software like R or Python as specified in the job description for the Research Assistant role at Columbia University.
Highlight your ability to conduct qualitative interviews, manage data securely, and work collaboratively with interdisciplinary teams, especially in healthcare or technology-driven research projects involving VR.
Apply through multiple platforms including Columbia University's official career site, LinkedIn, and academic job boards to maximize your chances of being noticed for this role.
Connect with current or past Research Assistants, faculty members, or staff in the School of Nursing at Columbia University on LinkedIn; use ice breakers like commenting on their recent research publications or expressing enthusiasm about the university's VR healthcare initiatives.
Optimize your resume for ATS by incorporating keywords such as 'mixed-methods research,' 'qualitative and quantitative data analysis,' 'VR technology,' 'systematic reviews,' and 'data privacy' to pass automated screenings effectively.
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