Postdoctoral Fellow - Ming Hu Lab

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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 and exchange accurate information
• Ability to distinguish color
• Manual dexterity to handle specimens and repair equipment
• Ability to lift and transport equipment or specimens weighing up to 20 pounds
• May be exposed to hazardous chemicals, bio-hazards, radioactive materials, etc.

Personal Protective Equipment:

• PPE per institutional requirements; may vary by laboratory

Preferred Application Materials:

• Cover letter and statement of research interests
• Curriculum vitae and contact information for at least three references
• Sample code from recent programming work
• Representative publications or preprints

All application materials should be submitted directly via email to Ming Hu at hum@ccf.org

Keywords: Postdoc, Research, Systems biology, biostatistics, computer science, epigenomics, 4D Nucleome, ENCODE, IGVF, BRAIN Initiative, Human Pangenome Project, ADSP

                       

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