ID: 7056980 (Ref.No. 304436KP)
Posted: April 16, 2019
Application Deadline: Open Until Filled
Seeking a highly motivated, organized, and responsible individual to lead computational projects on large-scale cancer genomic and epigenomic datasets. The post-doc will work with the PI in designing their own program, and also collaborate with wet lab members on many exciting genomics, epigenomics, and functional screening projects. The post-doc will be able to apply existing bioinformatics algorithms to new datasets, and generate custom scripts/algorithms/methods as applied to new datasets. Our lab will be consistently generating new ChIP-seq, ATAC-seq, and RNA-seq, and will soon expand applications into Hi-C/Hi-ChIP, and WGBS. The post-doc will have opportunities for knowledge acquisition in diverse areas of genomic and epigenomic related sequencing. The post-doc will work closely with our wet lab team to devise new approaches and perform in silico analyses. This post-doc will be required to work on-site and will have available local computational resources, as well as those provided through the Department of Human Genetics at BCM.
- Prepares and designs overall research computational projects – will have access to large scale chromatin datasets (i.e. ChIP-seq and ATAC-seq) that have been generated across many cancer types.
- Applies existing custom bioinformatics software to both well- defined and moderately complex problems.
- Designs, codes, tests, debugs, and maintains programs and research software for bioinformatics applications.
- Researches, assesses, imports, configures, and customizes third- party bioinformatics software.
- Advises on hardware and software decisions related to efficient application of implemented software.
- May provide technical guidance and work direction to lower level bioinformatics and information systems personnel.
- Writes manuscripts for scientific publication.
- PhD degree in Computer Science or Biological Sciences or Bioinformatics.
- Two years experience in scientific programming with applications to biological research. Required:
- Experience with R, Python, and programming in a UNIX/LINUX environment.
- Experience with working with NGS sequencing data such as: ChIP-seq, RNA-seq, Whole-exome sequencing etc. and experience in handling and processing NGS sequencing files.
- Demonstrated contribution to computation projects through open-source platforms such as GitHub, Bioconductor.
- Experience with programming PERL, C++, Java along with knowledge of database software such as SQL.
- Experience in working in a molecular biology lab: DNA, RNA, protein work / working with colleagues that are wet-lab trained.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.