Genomic Medicine Institute


No jobs found.

  • Posting #: 760
  • Job Title: Postdoctoral Fellow
  • Contact: Daniel Blankenberg
  • Description:

    The Blankenberg Lab in the Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute has several Postdoctoral Fellowships available. We utilize high-throughput omics technologies, such as next generation sequencing, and data-intensive computing to explore biomedical research questions. The PI is a founding member of the Galaxy Project (, a platform that is used throughout the world for large-scale data analysis.

    Both wet lab and computational positions are available and opportunities for crossover exist. Candidates will be highly motivated, ambitious, enthusiastic, and be able to work independently and in a collaborative environment.

    Applicants must have experience in computational biology, bioinformatics, or experimental genomics. Preference will be given to those with previous experience in metagenomics or microbiome research. A strong publication record is required. Candidates with well-developed research plans will be considered particularly favorably.

    Exceptional applicants should send a letter of application, curriculum vitae, statement of research interests, and complete contact information for 3 professional references to Dr. Daniel Blankenberg (

  • Posting #: 792
  • Job Title: Postdoc - Data driven precision medicine / translational genetics
  • Contact: Kathleen Babb
  • Description:

    The Lal Research Group, in the Genomic Medicine Institute (GMI) of the Cleveland Clinic Lerner Research Institute, seeks a postdoctoral researcher interested in data driven approaches to improve our understanding of brain disorders. Key words like Genomics, Precision Medicine, MRI, EEG, Computational biology, Machine learning, Clinical oriented data science, Translational genetics, Working in the Cloud, Web development or software engineering sound interesting to you? Join us.

    The Lal Research group at Cleveland Clinic studies large-scale genetic and clinical biomarkers from thousands of patients to improve our understanding of brain disorders and aims to subsequently translate the gained knowledge into clinical care. We seek new team members to lead projects in genetics, electronic health records, neurophysiology and brain imaging data science as well as software engineers and web developers for the development of computational infrastructure. The accepted applicants will work in the Genomic Medicine Institute and the Epilepsy Center of the Cleveland Clinic in close collaboration with other data scientists, neuroscientists and clinical researchers from related fields, to ultimately develop personalized medicine approaches. Besides local collaborations, the team will interact on a daily to weekly basis with collaboration partners and other members of the Lal Research Groups located at the Broad Institute of MIT and Harvard, Boston, US, and the Cologne Center for Genomics in Germany.

     For requirements and more details see here:

  • Posting #: 821
  • Job Title: Postdoctoral Research Fellow
  • Contact: Feixiong Cheng
  • Description:

    Postdoctoral Fellow – Network Medicine and Pharmacogenomics

    We are seeking 1-2 Postdoctoral Research Fellow to join my Network Medicine and Pharmacogenomics research group in the Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute and Department of Molecular Medicine at the Cleveland Clinic Lerner College of Medicine, Case Western Reserve University. Although often described as a disease of the genome, it is perhaps more appropriate to describe cancer as a “disease of the human macromolecular interactome”. My group hypothesize that cellular networks gradually rewire throughout cancer initiation, progression and maintenance, leading to progressive shifts of local and global network properties and systems states, all of which in turn underlie tumorigenesis and disease progression. It follows that most steps of cancer initiation, progression, maintenance and metastasis should be understood by considering network models in which every perturbed interaction, biophysical, biochemical or functional, is taken into account. The primary goal of my group is to combine tools from genetics and genomics, chemical biology, network medicine, bioinformatics, computational biology, and experimental pharmacology and systems biology assays (e.g., single cell sequencing and iPS-derived cardiomyocytes), to address the challenging questions toward understanding of complex diseases (including cancer, cardiovascular disease, and Cardio-Oncology), which could have a major impact in identifying novel real-world data-driven diagnostic biomarkers and therapeutic targets for precision medicine. A highly motivated candidate will join my NIH-funded research project focusing on analyzing, visualizing, and mining data from real world (e.g., electronic health records, and health care claims) and experiments that profile the molecular state of human cells and tissues by interactomics, transcriptomics, genomics, proteomics, and metabolomics for drug discovery and precision patient care. The postdoctoral fellow will have great opportunities to collaborate with diverse groups of physicians and computational biologists, and get access the large-scale patient data at the Genomic Medicine Institute, Miller Family Heart & Vascular Institute, Taussig Cancer Institute at Cleveland Clinic, and CASE Comprehensive Cancer Center at Case Western Reserve University.

    Requirements: Highly motivated candidates with a PhD/MD/PharmD degree in computational biology, bioinformatics, mathematical biology, network science, data science, genome science, pharmacogenomics, or a related field are encouraged to apply. A strong computational background, proficiency in at least one programming language (e.g., R, Python, Perl, C++, Java) and knowledge of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in high computing cluster environment, experience working with TCGA, ICGC, GTEx, 1000 Genomes, ENCODE, or ExAC, PDB, or other large-scale DNA-seq or RNA-seq data analysis is highly preferred. A good understanding of biology, genetics and genomics, pharmacokinetics/pharmacodynamics (PK/PD), cell signaling networks, and human protein-protein interactome is also preferred. Proficiency in spoken and written English is required.

    How to Apply: Interested applicants should send a cover letter describing your research experience/skills and future research interests/plans, a curriculum vitae and the contact information of two or three references to Dr. Feixiong Cheng ( with the subject line ‘Postdoc-Application - Your Name’.

    Application Deadline: Open Until Filled

Applications for technical research positions and administrative positions at the Lerner Research Institute can be submitted on the Cleveland Clinic jobs web site.