Instructor​/Assistant Professor - RNA Biology and Therapeutics, Genomics and Bioinformatics

Instructor/Assistant Professor - RNA Biology and Therapeutics, Genomics and Bioinformatics

We invite applications for a creative and collaborative scientist whose research emphasizes understanding of RNA biology, gene regulation, RNA‑therapeutic and experience in computational and statistical methods. The successful candidate will join a vibrant, interdisciplinary research community with strengths in RNA therapeutics, genomics, systems biology, bioengineering, single‑cell technologies and translational cancer/hematology research. The candidate will be a part of recently funded multi‑million‑dollar grant awarded to Cancer and Blood Disorders Institute at the Johns Hopkins All Children's Hospital.

Key Responsibilities:

• Establish and lead an independent, externally funded research program in RNA biology, RNA‑based therapeutics and bioinformatics.
• Collaborate with investigators in the Cancer & Blood Disorders Institute, as well as other institutes and departments at JHACH and the JHUSOM.
• Mentor trainees (postdoctoral fellows, graduate students, and/or undergraduate researchers) and contribute to the training mission of the institution.
• Participate in departmental and institutional service aligned with faculty rank and expectations (e.g., seminars, committee service, outreach).
• Pursue or build upon externally‑sponsored funding (NIH, NSF, state, foundation) and publish in peer‑reviewed journals.
• Contribute to an inclusive, collegial research environment, in line with the institution's commitment to diversity and excellence.

Rank and Appointment:

Appointment will be made at the rank of Instructor or Assistant Professor, depending on the candidate's experience and. The rank will be commensurate with qualifications and external research trajectory. Promotion and/or tenure track status will follow the standard policies of JHUSOM.

Environment & Support:

Candidates will join a dynamic, interdisciplinary community engaged in forefront research across RNA Biology, genomics and therapeutics. The institution offers dedicated support for research infrastructure, mentorship and collaboration across departments. Living and working in the Tampa Bay / St. Petersburg area offers an attractive cost of living, excellent quality of life and proximity to the resources of the Johns Hopkins network.

Qualifications (Required):

• Ph.D., M.D., or equivalent doctoral degree in Molecular Biology, Genetics genomics, biostatistics, or a related field.
• Demonstrated expertise in RNA Biology, gene regulation, genomics, preferably with a track record of independent research and publications.
• Interest in and readiness to build partnerships with faculty in cancer biology, hematology/oncology, epigenetics/epi‑transcriptomics, imaging, or related fields.
• Experience with scripting languages (e.g., Python, R) and statistical computing; ability to analyze large‑scale datasets and use high‑performance computing or cloud‑based platforms will be an advantage.
• Excellent oral and written communication skills; a demonstrated ability to work collaboratively across disciplines.

Preferred Qualifications:

• Track record of (or strong potential for) external funding support (e.g., NIH/NSF or equivalent).
• Experience working with single‑cell genomics, epigenomics/epi‑transcriptomics, RNA‑seq, long‑non‑coding RNAs, circular RNAs, or RNA therapeutics.
• Prior collaborations in biomedical engineering, systems biology or translational therapeutics.
• Experience mentoring trainees or leading collaborative research projects.

Applicants should apply through Interfolio.

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

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