The Genomic Medicine Institute (GMI) at the Cleveland Clinic Lerner Research Institute is seeking an assistant/associate/full professor level Faculty (primary research scientists and/or physician-scientists) in the disciplines of germline cancer genetics, cardio-pulmonary/vascular genetics, neurogenetics, renal genomics, population genetics or genomic and systems medicine, who will join a growing team focused on developing research programs in this highly competitive area. The GMI currently includes investigators in the following areas of genomics/epigenomics: cancer and benign blood disorders, neurodegenerative diseases, neurodevelopmental disorders, regulation of CMV and HIV latency, as well as metagenomics encompassing microbiomics/mycobiomics and viromics.
Successful candidates will have the opportunity to interact with the Center for Personalized Genetic Healthcare within the GMI, which includes clinical geneticists and genetic counselors. They will have access to clinical research support specialists, statistical and informatics support, outstanding Core facilities, computational infrastructure for scaled computing, and clinicians and medical subspecialists across the enterprise.
Candidates should have experience in designing and implementing translational, lab-based, and/or animal model research in an academic healthcare or industry setting. Proven proficiency in working with WES, WGS, SNP-array, Methylome, scTranscriptome or Transcriptome data is a must. Current extramural funding is highly desirable but outstanding applicants with strong publication records beginning independent research careers will also be considered. Excellence in collaborative science, academic writing, and communication skills are a must.
The Cleveland Clinic is an internationally recognized, not-for-profit, multi-specialty academic medical center that integrates clinical and patient care with research and education. It is ranked the #2 hospital in the country by U.S. News & World Report and in 2017, saw over 7 million patients.
The Lerner Research Institute, with nearly 200 independent investigators in 10 departments and an annual budget of >$240 million, has a commitment to excellence in basic, translational and clinical research, with an emphasis on interactive, collaborative research. Faculty are members of the Molecular Medicine Graduate Training Program at Case Western Reserve University School of Medicine, and may join other Programs, providing access to excellent doctoral students enrolled in well-developed training programs.
If interested, please email a copy of your Curriculum Vitae, a letter summarizing your interest and qualifications, and three references to firstname.lastname@example.org. Applications will be considered on a rolling basis.
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 (https://galaxyproject.org), 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 (email@example.com).
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: https://sites.google.com/view/lalresearchgroup/jobs
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 (firstname.lastname@example.org) with the subject line ‘Postdoc-Application - Your Name’.
Application Deadline: Open Until Filled
A Postdoctoral Fellow position is available in the laboratory of Dr. Angela Ting (http://www.lerner.ccf.org/gmi/ting/) at the Cleveland Clinic Lerner Research Institute. Our research focuses on understanding the functional impact of abnormal DNA methylation in cancer. We employ next generation sequencing (NGS) technologies to identify epigenetic changes throughout the genome and carry out mechanistic studies to define the functions of these changes and their impact on the transcriptome and cancer biology. We are particularly interested in developing and testing hypotheses for novel alterations outside of the gene promoter context.
Candidates must have scientific and technical expertise in molecular biology, RNA biology, biochemistry, transcription mechanisms, or gene delivery by transfection and lentivirus. Additional requirements include a Ph.D. degree in biological sciences, a strong publication record, proficiency in spoken and written English, and the ability to work/troubleshoot independently as well as understanding and incorporating findings in the scientific literature into his/her research. The postdoctoral fellow will be expected to take a lead role in data generation, analysis, interpretation, visualization, and manuscript preparation.
Please send your curriculum vitae and contact information for 3 references to Angela Ting (email@example.com).
A Computational Biology Postdoctoral Fellow position is available in the laboratory of Dr. Angela Ting (http://www.lerner.ccf.org/gmi/ting/) at the Cleveland Clinic Lerner Research Institute. Our research focuses on understanding the functional impact of abnormal DNA methylation in cancer. We employ next generation sequencing (NGS) technologies, including Illumina short reads, PacBio, and Oxford Nanopore, to identify epigenetic changes throughout the genome and carry out mechanistic studies to define the functions of these changes and their impact on the transcriptome and cancer biology. We are particularly interested in developing and testing hypotheses for novel alterations outside of the gene promoter context as well as delineating the origin of aberrant DNA methylation in oncogenesis.
Candidates must have scientific and technical expertise in computational biology, bioinformatics, or systems biology. Preference will be given to those with experience in analysis of next generation sequencing data. Additional requirements include a Ph.D. degree in biological sciences or computer science, a strong publication record, proficiency in spoken and written English, and the ability to work/troubleshoot independently as well as understanding and incorporating findings in the scientific literature into his/her research. The postdoctoral fellow will be expected to take a lead role in data analysis, interpretation, visualization, and manuscript preparation.
Please send your curriculum vitae and contact information for 3 references to Angela Ting (firstname.lastname@example.org).
A postdoctoral fellow position is available in the Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute. The successful candidate(s) will work in the Bekris lab which is supported by multiple grants and funding resources. Bekris lab research is focused on identifying and evaluating the functional impact of genetic and epigenetic factors in Alzheimer’s disease and other neurodegenerative disorders.
Recent PhDs with a degree in molecular biology or related field as well as a background in experimental genomics and epigenomics utilizing cellular models will be considered. Experience in high-throughput analysis of next-generation sequencing data and familiarity with widely-used genomic/epigenomic databases and related software is a plus.
The candidate must have excellent verbal and written communication skills as well as a publication record. In addition, the candidate must be capable of working within a team of molecular biologists, bioinformaticians, statisticians and clinicians.
Please email your CV, a brief statement of your research interests and three references to
Dr. Lynn Bekris (email@example.com).
Applications for technical research positions and administrative positions at the Lerner Research Institute can be submitted on the Cleveland Clinic jobs web site.