Postdoctoral Fellow - Russell Bowler Lab
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.
We are seeking a highly motivated Computational Biology Post-Doctoral Fellow to develop and apply advanced multi-omic network and AI/ML models using large-scale human populations, including TOPMed, UK Biobank, and other deeply phenotyped cohorts. A strong foundation in biostatistics and statistical modeling is essential for integrating genomic, transcriptomic, proteomic, metabolomic, imaging, and clinical data using both cloud-based and on-premises high-performance computing resources. The fellow will work in a dynamic, interdisciplinary environment alongside clinician-scientists, statistical geneticists, and functional genomics teams, with opportunities to experimentally validate computational discoveries. This position provides exceptional opportunities to build an independent research trajectory and to collaborate across the international Cleveland Clinic enterprise, contributing to translational programs in precision medicine, data-driven discovery, and complex disease biology.
Principal Investigator: Russell Bowler, MD, PhD
Cleveland Clinic Research Department: Genomic Sciences and Systems Biology
Lab Research Topics:
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Computational Genomics & Systems Biology
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Multi-Omic Data Integration
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AI / Machine Learning for Biomedical Discovery
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Statistical Genetics & Biostatistics
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Population-Scale Human Genomics
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For more information about the lab's research, please visit: or contact Amy Petriella at [email protected]
Job Responsibilities:
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Independent project design with the goal of data generation, analysis, interpretation and manuscript preparation
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Develop and apply advanced AI/ML and network-based models
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Integrate and harmonize diverse biomedical data types
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Leverage cloud-based and high-performance computing environments
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Collaborate with interdisciplinary teams
Education:
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PhD or MD/PhD required
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MD with relevant laboratory experience may substitute for PhD
Languages:
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English Proficiency proof required for candidates arriving on J-1, J-2, or F1 + OPT visa status
Work Experience:
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Previous experience in a research or academic setting. Graduate student experience meets this requirement.
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Scientific writing experience
Additional Preferred Qualities:
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Work independently while driving collaborative, team-based research
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Strong scientific communication skills
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Experience contributing to or leading international, multi-institutional collaborations
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Interest in translational science and precision medicine
Physical Requirements:
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Ability to perform work in a stationary position for extended periods
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Ability to operate a computer and other office equipment
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Ability to communicate and exchange accurate information
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Ability to distinguish color
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Manual dexterity to handle specimens and repair equipment
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Ability to lift and transport equipment or specimens weighing up to 20 pounds
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May be exposed to hazardous chemicals, bio-hazards, radioactive materials, etc.
Personal Protective Equipment:
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PPE per institutional requirements; may vary by laboratory
Preferred Application Materials:
All application materials should be submitted directly via email to Amy Petriella at [email protected] .
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Cover Letter
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CV
Keywords: Postdoc, Research, Multi-Omics, AI, Machine Learning, Genomics, Systems Biology, Omics, Genetics
Pay Range
Minimum Annual Salary: $31,200.00
Maximum Annual Salary: $312,000.00
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.).
Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities
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