Date Posted: Feb 12, 2018
This position offers an opportunity to execute cutting-edge computational research within the laboratory headed by Ajay Goel, PhD. The research focuses on understanding the interplay between genetic and epigenetic alterations in colorectal, pancreatic, gastric and esophageal cancers. We are a multidisciplinary research group, undertaking a number of collaborative projects involving large international consortia. The projects will involve any/all of the following research focuses.
• Exploration of the role of aberrant DNA methylation, histone modifications and non-coding RNAs (miRNA, lncRNAs, snoRNAs, piRNAs etc.) in gastrointestinal cancers.
• Establishment of innovative methodologies for the development of epigenetic and non-coding RNA-based biomarkers for the earlier diagnosis, prognosis and predictive responses to chemotherapy in gastrointestinal neoplasia.
• Understanding the genetic basis of early-onset and familial colorectal cancers.
• Molecular mechanisms of cancer chemotherapy, stem cells, chemo-resistance and chemo-sensitization.
• Gut microbiome, and its influence on gastrointestinal cancers.
The position is largely computational but involves substantial collaboration with wet-lab researchers providing data and is focused on fundamental biology. This interdisciplinary position offers opportunities to address important questions in computational biology and cancer genomics with first access to large novel data sets from various genomic/epigenomic platforms. We have a strong preference for bioinformaticians/computational biologists with a deep appreciation of biological phenomena or, alternatively, experimentalists with a solid background in bioinformatics/computational biology analysis of transcriptomic and genomic data with regard to detection of differentially expressed genes, noncoding RNAs, DNA methylation and differential processing profiles.
This individual will also have the opportunity to develop original statistical and machine learning methodologies and analytical and computational tools to extract knowledge from complex and big data.
Center for Gastrointestinal Research: http://www.baylorhealth.edu/GiResearch
The ideal candidate will possess:
• An excellent track record of analyzing next generation sequencing data in cancer, particularly whole genome, RNASeq and methylation sequencing analysis including:
o Differential expression analysis, SNV calling, indel calling, rearrangement/translocation calling, CNV identification and analysis.
• A good knowledge and understanding of cancer biology
• Passion for science and reproducible scientific work
• Proficient in spoken and written English
• Being comfortable in interacting with colleagues in an interdisciplinary setting
• PhD in bioinformatics, computer science, data science, mathematics, statistics, physics or equivalent
Join Baylor Scott & White Health
Baylor Health Care System, based in Dallas, and Scott & White Healthcare, based in Temple, Texas, have formed a new organization that combines the strengths of their two nationally recognized health systems. For an industry undergoing fundamental changes, Baylor Scott & White Health provides a new vision and more resources, offering patients continued exceptional care. Baylor Scott & White Health includes 43 hospitals, more than 500 patient care sites, more than 6,000 affiliated physicians, 34,000 employees and the Scott & White health plan.
Baylor Scott & White Health is an Equal Employment Opportunity employer that values the strength diversity brings to the workplace. Baylor does not accept unsolicited resumes sent by or on behalf of a third party agency or firm. Baylor Scott & White Health will not pay fees to any third party agency or firm that does not have a signed “Baylor Scott & White Health" Agency Fee Agreement.