Postdoctoral Fellow

New Jersey Medical School (NJMS), part of Rutgers University's Biomedical and Health Sciences division, is the oldest school of medicine in New Jersey and a leader in medical education and research. NJMS is dedicated to training health professionals, advancing biomedical and clinical research, and delivering high-quality patient care and community service. The school emphasizes innovation and continuous improvement while maintaining a strong commitment to its mission, vision, and values.

Faculty, staff, and trainees collaborate across disciplines to improve health outcomes locally and globally. NJMS offers an academically rigorous and supportive environment for postdoctoral fellows pursuing impactful research careers.

The Postdoctoral Fellow will conduct advanced research in collaboration with faculty at Rutgers New Jersey Medical School, contributing to ongoing projects and developing independent lines of inquiry. Day-to-day responsibilities include designing and performing experiments or studies, analyzing and interpreting data, preparing manuscripts for peer-reviewed journals, and presenting findings at seminars and conferences. The fellow will assist with grant writing, contribute to mentoring students and junior researchers in the lab, and participate in regular group meetings and departmental activities.

This is a full-time hybrid role located on the Rutgers University-Busch Campus, NJ, with a portion of work that may be completed from home depending on project needs and supervisor approval.

• Completed PhD or equivalent doctoral degree in a relevant field (e.g., biomedical sciences, neuroscience, public health, or related discipline).
• Strong research skills, including experimental design, data collection, quantitative and/or qualitative analysis, and rigorous scientific methodology.
• Demonstrated ability to write and edit scientific manuscripts, abstracts, and reports, with a track record of publications or submitted papers.
• Experience presenting research at conferences, seminars, or symposia, with clear and effective oral and visual communication skills.
• Proficiency with relevant laboratory techniques, computational tools, or statistical software (e.g., R, Python, SPSS, or domain-specific platforms).
• Ability to work collaboratively in a multidisciplinary team, while managing independent projects and meeting timelines with minimal supervision.
• Commitment to ethical research conduct, including adherence to institutional, state, and federal regulations and best practices in data integrity.
• Strong organizational skills, attention to detail, and willingness to mentor students or research assistants in a diverse academic environment.
• Experience in grant writing or contributing to research proposals is highly beneficial.