Research Assistant II - Frailty Research

The mission of the Frailty Research Program is to advance care of older adults with frailty by generating high-quality novel evidence, training future clinicians and researchers, and changing healthcare systems and policy. We are seeking a research assistant to join a core team led by Dr. Dae Hyun Kim, Associate Professor of Medicine at Harvard Medical School, conducting research leveraging large databases, advanced statistical methods, and innovative clinical interventions. 

A competitive candidate will be a self-motivated, independent individual with a bachelor’s degree with at least 2 years of relevant experience or with a master’s degree in quantitative science (e.g., epidemiology, public health, biostatistics) who has strong organizational skills, and familiarity with statistical software (e.g., Stata, R, or SAS) for data analysis. Candidates who are willing to commit at least 2 years are preferred.

Position Responsibilities:
• Prepare research protocols, IRB applications/correspondence, study instruments (e.g., surveys), study databases (e.g., REDCap), and data documentation.
• Gather research data via interviews with research participants and medical records review.
• Perform data entry, management, and analysis.
• Reviews medical literature and participate in scientific writing.
• The above covers the most significant responsibilities of the position. It does not, however, exclude other duties, which would be in conformity with the level of the position. Completes special projects as assigned.

Qualifications: 

• Bachelor’s degree with at least 2 years of relevant experience or a master’s degree in quantitative science (e.g., epidemiology, public health, biostatistics).
• Excellent communication skills, careful attention to detail, and good organizational skills to supervise and facilitate on the ground efforts in trials or interventions. 
• Takes initiative, with flexibility in regard to project management (e.g., adapting to changes in schedules, willingness to learn new skills and new technologies, etc.) 
• Prioritize and manage multiple projects at once.
• Ideally experience with data analysis and presentation with statistical software (if so, please specify what software and to what level of proficiency).