Job ID: 686347
Job date: 2019-05-08
End Date: 2019-07-07
Company : Sanford-Burnham Medical Research Institute Country : United States Role : Postdoc
Job date: 2019-05-08
End Date: 2019-07-07
Company : Sanford-Burnham Medical Research Institute Country : United States Role : Postdoc
Job Description:
A Postdoctoral Associate position is available in the lab of Prof Peter D. Adams of Sanford Burnham Prebys Medical Discovery Institute (SBP) for ambitious, independent and motivated candidates to join the team investigating the epigenetics of aging and cancer. The successful candidate will use computational and bioinformatics approaches to investigate how age-associated epigenetic events, derived from human and mouse tissues and cell culture models, are related to epigenetic hallmarks of aging and disease, most notably cancer. Datasets will include ChIP-seq, RNA-seq, ATAC-seq, DNA methyl-seq and other large-scale epigenomic and chromatin analyses, including at the single-cell level, as well as results from high throughput chemical and RNAi/CRISPR phenotypic screens.
Additional Info:
Primary Responsibilities
Computational analysis and integration of large transcriptomic and epigenetic datasets
Access of public genetic, epigenetic and transcriptomic large datasets, for integration with those datasets generated in the lab.
Utilizes existing lab data analysis pipelines
Builds new data analysis pipelines, e.g. for single cell RNA-seq and ATAC-seq.
Manages large dataset storage, in databases, lab wiki and lab UCSC browser
Maintains and initiates collaborations between Adams lab and other labs in SBP, San Diego, US and world wide.[Click Here to Access the Original Job Post]
A Postdoctoral Associate position is available in the lab of Prof Peter D. Adams of Sanford Burnham Prebys Medical Discovery Institute (SBP) for ambitious, independent and motivated candidates to join the team investigating the epigenetics of aging and cancer. The successful candidate will use computational and bioinformatics approaches to investigate how age-associated epigenetic events, derived from human and mouse tissues and cell culture models, are related to epigenetic hallmarks of aging and disease, most notably cancer. Datasets will include ChIP-seq, RNA-seq, ATAC-seq, DNA methyl-seq and other large-scale epigenomic and chromatin analyses, including at the single-cell level, as well as results from high throughput chemical and RNAi/CRISPR phenotypic screens.
Requeriments :
Skills :
- Bioinformatics
- Bioinformatics Databases
- Biomedical Research
- Biostatistics
- Cancer Genomics
- Cell Biology
- Computational Biology
- Computational pipeline development
- computational tool development
- Genomics
- Linux/Unix
- molecular biology
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Strong Communication Skills
Areas :
Additional Info:
Primary Responsibilities
Computational analysis and integration of large transcriptomic and epigenetic datasets
Access of public genetic, epigenetic and transcriptomic large datasets, for integration with those datasets generated in the lab.
Utilizes existing lab data analysis pipelines
Builds new data analysis pipelines, e.g. for single cell RNA-seq and ATAC-seq.
Manages large dataset storage, in databases, lab wiki and lab UCSC browser
Maintains and initiates collaborations between Adams lab and other labs in SBP, San Diego, US and world wide.[Click Here to Access the Original Job Post]