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Job Title
Postdoctoral Fellow - Ming Hu Lab
Location
Cleveland
Facility
Cleveland Clinic Main Campus
Department
Job Code
X1004
Shift
Variable
Schedule
12:00am-12:00am
Job Summary
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.
Job Details
NIH NRSA Postdoctoral Salary Scale
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
The Hu Lab seeks a Postdoctoral Research Fellow for NIH-funded research on single-cell chromatin organization, gene regulation, and disease. Applicants must hold a PhD in Bioinformatics, Computational Biology, Systems Biology, Statistics, Biostatistics, Computer Science, or a related quantitative discipline. The statistical, programming, and communication skills listed above are required; biology or genomics knowledge and AI or machine learning experience are preferred. The position offers interdisciplinary collaborations and supportive mentorship toward research independence. Benefits follow standard Cleveland Clinic postdoctoral policies. Application review begins immediately.
Principal Investigator: Ming Hu, PhD
Cleveland Clinic Research Department: Genomic Sciences and Systems Biology
Lab Research Topics:
Bioinformatics and computational biology
Single-cell genomics
3D genome organization
Gene regulation
Statistical genomics
For more information about the lab’s research, please visit: https://www.lerner.ccf.org/quantitative-health/ming-hu/ or contact Dr. Hu at hum@ccf.org
Responsibilities:
Independent project design with the goal of data generation, analysis, interpretation and manuscript preparation
Develop statistical and computational methods for high-dimensional genomics data.
Study chromatin spatial organization and architecture at single-cell resolution.
Integrate multi-omics and functional genomics data to investigate gene regulation and disease mechanisms.
Collaborate across disciplines, prepare manuscripts, present findings, and contribute to grant-related activities.
Education:
PhD or MD/PhD required
MD with relevant laboratory experience may substitute for PhD
Languages:
English Proficiency proof required for candidates arriving on J-1, J-2, or F1 + OPT visa status
Work Experience:
Previous experience in a research or academic setting. Graduate student experience meets this requirement.
Scientific writing experience
Additional Preferred Qualities:
Strong statistical modeling, computational method development, and scientific programming skills.
Proficiency in R and Python or Perl in Unix/Linux environments.
Excellent written and verbal communication skills; ability to work independently and collaboratively.
Background in biology, genetics, or genomics.
Experience with artificial intelligence and machine learning; interest in large-scale biological datasets.
Physical Requirements:
Ability to perform work in a stationary position for extended periods
Ability to operate a computer and other office equipment
Ability to communicate…