Experience: Works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Knowledge of safety standards and maintenance of specialized equipment.
ESSENTIAL JOB RESPONSIBILITIES: The postdoctoral scientist will develop and employ a variety of computational tools to analyze DNA methylation and other large-scale epigenomic datasets. The work will involve the following: Develop, implement and adapt software tools to analyze array-based and sequencing-based DNA methylation and epigenomic data Develop, implement and adapt software tools to integrate other related omics data types, such as single-cell transcriptome and epigenome data Analyze, interpret and summarize results of analysis Be well-organized and report progress regularly to PIs Participate and present findings in weekly meetings Publish findings in peer reviewed journals Attend present findings at scientific meetings in and outside of the Los Angeles area
EDUCATIONAL AND WORK EXPERIENCE PREFERENCES: PhD in Computational Biology, Bioinformatics, Computer Science, Physics, or related field
The candidate should be comfortable in an HPC (cluster) or Cloud environment. They should be fully proficient in at least one programming or scripting language (e.g. Java or Python) and at least one mathematical package (e.g. R or MATLAB). The ideal candidate will have a strong undergraduate or graduate level understanding of statistics, probability and algorithms. The ideal candidate will have a background working with high-throughput genomic data (especially DNA methylation or other epigenomic marks), and a general understanding of cancer biology.
Starting date and Application:
The position is available starting May 2018, with the application process closing as soon as a suitable candidate is found. A complete application package will include: 1) a CV; 2) a short description of past research accomplishments and future goals; and, 3) the names and e-mail addresses of at least 2 references. Complete applications can be sent to Dr. Dechen Lin: De-Chen.Lin@cshs.org or Dr. Benjamin Berman: Benjamin.Berman@cshs.org
Location: Cedars-Sinai Medical Center (CSMC) is a full-service, acute tertiary care hospital and the largest nonprofit hospital in the western United States. CSMC is a major teaching facility of the University of California, Los Angeles (UCLA) David Geffen School of Medicine, with over 240 full-time faculty members in ten different departments. Most of the full-time CSMC faculty are also faculty at UCLA, and are active in the governance and committee structure of UCLA Academic Senate (graduate and undergraduate schools alike), and participate in the training of medical students, interns, residents and fellows. Biomedical research is an integral function of CSMC’s commitment to developing excellent patient care. Translational and clinical research at Cedars-Sinai falls under the purview and oversight of the Burns and Allen Research Institute, ranked among the top ten non-university biomedical research institutions in the nation in terms of funding from the National Institutes of Health.