Postdoctoral 5
Date | Contact | Description |
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01/13/2021 | Angela Ting, PhD tinga@ccf.org |
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. Most recently, we discovered a novel mechnism for how DNA methylation regulates transcriptome diversity (https://pubmed.ncbi.nlm.nih.gov/32333838/). We are recruiting motivated, creative individuals to help us expand upon this and other exciting obervations to understand the full impact of epigenetic regulation. 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. We also leverage state-of-the-art single cell genomics to interogate these phenamenon at single cell reslution to delineate the heterogeneity observed in vivo. Candidates must have scientific and technical expertise in computational biology, molecular biology, RNA biology, biochemistry, or transcription mechanisms. 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, a cover letter, and contact information for 3 references to Angela Ting (tinga@ccf.org). |
11/30/2020 | Christine O'Connor oconnoc6@ccf.org |
Postdoctoral Position: Virology/Infectious Disease Job Summary: We are seeking a highly motivated individual for a post-doctoral position in the laboratory of Christine O’Connor, PhD, in the Department of Genomic Medicine at the Cleveland Clinic. This position is for highly motivated, enthusiastic candidates with a strong background in molecular/cellular biology, virology, immunology, and/or related field. Research topics include understanding the function(s) of the human cytomegalovirus (HCMV) encoded G-protein coupled receptors (GPCRs) during latency and reactivation. Qualified individuals should hold a PhD and/or MD and have strong laboratory, analytical, and communication skills. Candidates with experience in virology and/or immunology are strongly encouraged to apply. Key responsibilities include:
Ideal candidates have:
Interested candidates should submit a current CV, description of past research experience and accomplishments, summary of current and future research interests, selected publication reprints, as well as the names and contact information of three referees to: Christine O’Connor, email: oconnoc6@ccf.org |
10/28/2020 | Lynn M. Bekris bekrisl@ccf.org |
The Bekris Laboratory is principally motivated by the question of how genetics and epigenetics influence biomarkers and how we can exploit this knowledge to prevent or diagnose neurodegenerative disorders. Our team aims to develop novel biomarker tools that will ultimately enhance therapeutic strategies for Alzheimer’s disease and Alzheimer’s disease related dementias. The successful candidate will become a part of the Cleveland research community that includes the collaborative environment of the newly created Cleveland Alzheimer’s Disease Research Center. The candidate will work with clinical dementia specialists, computational biologists, genomics researchers, and others in a unique and collaborative intellectual environment of neurodegenerative disorder investigators at one of the world’s leading institutions for medical innovation. The Bekris Laboratory is seeking an enthusiastic and energetic post-doctoral trainee to join our collaborative research effort. Self-motivation and a strong interest in identifying and characterizing novel biomarkers for neurodegenerative disorders such as Alzheimer’s disease and Dementia with Lewy bodies, is essential. Candidate must have the ability to perform analytical reasoning to tease apart biological insights using data-driven approaches. This position requires a background in statistics and computer science with programming in a high-level language preferred (e.g., R) as well as previous experience with high-performance compute clusters and cloud computing platforms. This position is designed to prepare post-doctoral trainees for research careers in computational and experimental genomics, epigenetics and biomarker discovery. Responsibilities: • Exhibit command of chosen research area methodology. • Provide status reports to the Principal Investigator on project(s). • Present findings at group meetings and national conferences, as appropriate. • Draft presentations, manuscripts, and contribute to funding proposals. • Lead and co-author scientific manuscripts in peer-reviewed journals. • Contribute to laboratory maintenance as part of the team. Qualifications • PhD • Familiarity with genomic and epigenomic methodology and statistical approaches. • Excellent analytic, critical thinking, quantitative skills including excellent English written and oral communication skills, and a track record of success in publications, presenting results, and representing research at meetings. • Self-motivation and ability to take creative initiative, work independently, while learn new techniques. • Collaborative and supportive team member. • Strong organizational and laboratory skills, including the ability to keep detailed records, track samples and analysis pipelines. The application should include a 1 page cover letter with a brief statement of interest, curriculum vitae, and contact information for three references. All application materials should be emailed to the primary investigator at bekrisl@ccf.org. |
09/23/2020 | Daniel Blankenberg blanked2@ccf.org |
The Blankenberg Lab in the Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute has 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. We are particularly interested in individuals with extensive experience with statistics, data analysis, and visualization using Open Source frameworks. Candidates must be fluent in R and/or Python programming languages. Additional preference will be given to individuals with experience in analysis of biological high-throughput datasets, especially sequencing and mass-spec based datasets, and to applicants with interest and experience in e.g. bioinformatics or computational biology in relation to cancer and metagenomic/microbiome derived datasets. Although previous, domain-specific experience is not strictly necessary. Candidates will be highly motivated, ambitious, enthusiastic, and be able to work independently and in a collaborative environment. Exceptional applicants should send a letter of application expressing their interest and containing links to GitHub accounts (or Bitbucket, GitLab, etc) or to portfolios of interactive visualization work, a curriculum vitae, statement of research interests, and complete contact information for 3 professional references as a single PDF to Dr. Daniel Blankenberg (blanked2@ccf.org).
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08/12/2020 | Feixiong Cheng chengf@ccf.org |
We are seeking 1-2 Postdoctoral Research Fellow to join the Network Medicine and Artificial Intelligence (AI) research group (https://www.lerner.ccf.org/gmi/cheng/) led by Dr. Feixiong Cheng at the Genomic Medicine Institute, Cleveland Clinic Lerner Research Institute, and Department of Molecular Medicine at the Cleveland Clinic Lerner College of Medicine, Case Western Reserve University. The primary goal of Cheng group is to combine tools from electronic health record (EHR), genetics and genomics, chemical biology, network medicine, AI, bioinformatics, computational biology, and experimental systems biology assays (e.g., single-cell/nucleus sequencing and hiPSC-derived cardiomyocytes and neurons), to address the challenging questions toward understanding of complex diseases (including Alzheimer's disease [https://alzgps.lerner.ccf.org], Cardio-Oncology [https://mutanome.lerner.ccf.org], and COVID-19), 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 our NIH-funded research projects focusing on analyzing, visualizing, and mining data from real-world (e.g., EHRs and healthcare claims) and experiments that profile the molecular state of human cells and tissues by interactomics (protein-protein interactions), transcriptomics, genomics, proteomics, radiomics, and metabolomics for drug discovery and precision patient care. The postdoctoral fellow will have great opportunities to collaborate with diverse groups of physicians, genetics, 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, The Cleveland Alzheimer's Disease Research Center (CADRC) at the Cleveland Clinic Lou Ruvo Center for Brain Health, and Cas Comprehensive Cancer Center at Case Western Reserve University. Requirements:
How to Apply: Interested applicants should send a cover letter describing your research experience/skills and future research statement/plan (2-3 pages), a curriculum vitae and the contact information of three referees to Dr. Feixiong Cheng (chengf@ccf.org or feixiong.cheng@case.edu) with the subject line ‘Postdoc-Application - Your Name’. Application Deadline: Positions are open immediately until filled
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