Job ID: 1185525232
Job date: 2019-03-22
End Date: 2019-05-21
Company : UCSF Benioff Children's Hosp Oakland Country : United States Role : Postdoc
Job date: 2019-03-22
End Date: 2019-05-21
Company : UCSF Benioff Children's Hosp Oakland Country : United States Role : Postdoc
Job Description:
The Jawaheer Lab at the UCSF Benioff Children’s Hospital Oakland Research Institute (www.chori.org) is interested in transcriptome and epigenetic changes that occur during pregnancy and how those can influence autoimmune disease. We are seeking a highly motivated and creative postdoctoral fellow to examine changes in coding and non-coding RNA patterns over time (based on RNA-seq data) in the context of human pregnancy and autoimmune disease. The successful applicant will perform original research in computational biology, assessing computational methods and developing/implementing analytical pipelines to infer underlying molecular mechanisms. He/She will take a lead in the project management, data analysis and interpretation of results within the context of the biological problem being investigated, and will collaborate with other team members. The ideal candidate is expected to report the scientific results by writing scientific papers and effectively communicate with peers.
Additional Info:
Applicants must have a Ph.D. in bioinformatics, computational biology, statistics, human genetics or related field, and a sound understanding of both biology and data science. Must be proficient in statistical and programming languages such as R and Python, and familiar with Linux and high performance computing. Preference will be given to candidates with prior experience in analyses of RNA-seq data, other omics data, co-expression analyses, and with a thorough understanding of biological systems. Strong problem solving abilities and excellent verbal and written communication skills are required.[Click Here to Access the Original Job Post]
The Jawaheer Lab at the UCSF Benioff Children’s Hospital Oakland Research Institute (www.chori.org) is interested in transcriptome and epigenetic changes that occur during pregnancy and how those can influence autoimmune disease. We are seeking a highly motivated and creative postdoctoral fellow to examine changes in coding and non-coding RNA patterns over time (based on RNA-seq data) in the context of human pregnancy and autoimmune disease. The successful applicant will perform original research in computational biology, assessing computational methods and developing/implementing analytical pipelines to infer underlying molecular mechanisms. He/She will take a lead in the project management, data analysis and interpretation of results within the context of the biological problem being investigated, and will collaborate with other team members. The ideal candidate is expected to report the scientific results by writing scientific papers and effectively communicate with peers.
Requeriments :
Skills :
- Bioinformatics
- Biomedical Research
- Biostatistics
- Computational Biology
- Human Genetics
- Linux/Unix
- Programing in Python
- Programming in R
- RNA-seq
- Strong Communication Skills
- Strong Writing Skills
- Systems Biology
- Transcriptomics
Areas :
Additional Info:
Applicants must have a Ph.D. in bioinformatics, computational biology, statistics, human genetics or related field, and a sound understanding of both biology and data science. Must be proficient in statistical and programming languages such as R and Python, and familiar with Linux and high performance computing. Preference will be given to candidates with prior experience in analyses of RNA-seq data, other omics data, co-expression analyses, and with a thorough understanding of biological systems. Strong problem solving abilities and excellent verbal and written communication skills are required.[Click Here to Access the Original Job Post]