Instructor
Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university.
Salary: 75000-100000
Johns Hopkins University: School of Medicine: Department of Genetic Medicine
Description
The Instructor (Non-Tenure Track) is a full-time research-focused position that supports ongoing scholarly, scientific, or laboratory projects within the department of Genetic Medicine. The role involves conducting independent and collaborative research under the supervision of a principal investigator (PI) or senior faculty member. This position is not part of the tenure-track faculty pathway.
Key Responsibilities:
- Conduct and support research activities, including experimental design, data collection, data analysis, and interpretation of results.
- Manage day-to-day operations of research projects, ensuring compliance with regulatory, institutional, and funding requirements.
- Prepare research materials such as protocols, reports, abstracts, posters, and manuscripts for publication or presentation.
- Assist with grant applications, including literature reviews, preliminary data preparation, and research plan development.
- Maintain research records, laboratory documentation, and project databases with accuracy and confidentiality.
- Collaborate with faculty, postdocs, staff, and students; provide training or technical guidance as needed.
- Operate and maintain laboratory equipment, ensuring adherence to safety standards and best practices.
- Participate in research meetings, seminars, and department activities.
- Contribute to the development of new research methods, procedures, or technologies relevant to project goals.
Qualifications
Qualifications:
PhD in Human Genetics or relevant field
3-4 years of extensive postdoctoral research experience, which demonstrates independent project management, high-level technical or methodological expertise and strong productivity
Solid record of peer-reviewed publications usually first author papers, and evidence of ongoing scholarly projects.
Intermediate field-specific skills in lab techniques, computational/statistical analysis and engineering design/testing
Grant funding experience
Strong communication skills - writing and presentation skills, and ability to communicate effectively with collaborators and interdisciplinary teams
Other preferred skills such as experience in teaching or mentoring, supervising lab personnel and familiarity with lab operations and equipment management
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