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Cleveland Clinic Research is offering a postdoctoral training position in the Microbial Sciences in Health lab, under the supervision of Dr. Shu Feng. The role focuses on data generation, analysis, and manuscript preparation in molecular biology within a collaborative multidisciplinary team.
Compensation follows the NIH NRSA Postdoctoral Salary Scale based on postdoctoral experience, with a defined pay range and potential for further growth in a leading research institution in Cleveland.
Highly motivated individuals with a PhD or MD/PhD in relevant area are encouraged to apply. This training position, under the direct supervision of a Cleveland Clinic Principal Investigator will provide practical training and experience in a research setting. This position is appointed through Cleveland Clinic Research. The successful applicant will be able to demonstrate a commitment to research, a collaborative work ethic and strong communication skills, both written and verbal. This program is expected to be completed within 5 years. Compensation follows the NIH NRSA Postdoctoral Salary Scale based on total years of postdoctoral experience.
Years of Experience: Stipend for FY 2026
0: $63,480
1: $63,900
2: $64,380
3: $66,948
4: $69,180
5: $71,748
6: $74,424
7 or More: $77,076
For more information about the lab's research, please contact Dr. Feng at fengs@ccf.org
Minimum Annual Salary: $31,200.00
Maximum Annual Salary: $95,000.00
The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate’s actual compensation will be determined after taking factors into consideration such as the candidate’s work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic’s benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).
Keywords: Postdoc, Research, Cleveland Clinic Research, omics analysis