Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
Computational Biologist Postdoctoral Researcher- Mammalian Functional Genomics - 77585
The Genomics Division at Lawrence Berkeley National Laboratory, CA, has an exciting Postdoctoral Researcher (Computational Biologist) opportunity in the area of mammalian functional genomics available.
This position will be under the joint mentorship of Len Pennacchio and Axel Visel. Research in the Pennacchio and Visel laboratories focuses on the use of genomic, epigenomic, and computational methods in conjunction with experimental studies to elucidate the role of transcriptional enhancers and other functional non-coding sequences in human and mouse developmental and disease processes. For more information, see Nature 444:499; Nature Genetics 40:158; Nature 457:854; Nature 461:199; Nature 464:409; Nature Genetics 42:806; Nature Genetics 44:89; Cell 152:895, Science 342:1241006, Cell 155:1521.
• Conceive and carry out research projects studying the roles of noncoding sequences in mammalian development and disease for publication in major peer-reviewed journals.
• Under the Principal Investigators’ mentorship, develop and implement cutting-edge computational strategies for the functional analysis of non-coding sequences in the human and mouse genomes.
• Analyze and summarize large genomic datasets and regularly present findings at lab meetings and scientific conferences.
• Collaborate with other postdoctoral fellows and technical research staff in a team-based research environment.
• Gain new skills in the area of mammalian genomics with the goal to become an increasingly independent investigator
• Recent Ph.D. and research experience in genetics/genomics, computational biology, bioinformatics or a relevant related field.
• Proven experience with computational analysis of genomic data, including use of programming languages and/or statistical analysis platforms (eg. Python, Perl, R, Stata)
• Strong interest in genomic and functional genomic questions and in the use of computational strategies to derive biological insights from sequence data.
• Demonstrated scientific productivity through publications in peer-reviewed journals.
• Effective oral and written communication skills to present findings at group meetings and conferences and publish results.
• Please highlight your computational skills and publications in your CV
This position is funded through an NIH T32 training grant. Applicants must be U.S. citizens or permanent residents to be eligible. This is a 1 year term appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. Work will be performed at the Lawrence Berkeley national Lab in Berkeley, CA.
Berkeley Lab is an Affirmative Action/Equal Employment Opportunity employer committed to the development of a safe and diverse workforce.
How To Apply
Apply directly online at http://bit.ly/lbl77585Genomeweb and follow the on-line instructions to complete the application process.