Job Description:
Postdoc in Computational Cancer PharmacologyUniversity of Colorado Anschutz Medical CampusPharmacologyUSA-CO-Denver This is a full-time Postdoctoral research position in the Computational Biosciences Program at the University of Colorado, School of Medicine. The National Library of Medicine funded training grant supports this position and encompasses the fields of bioinformatics, systems biology, pharmacology, and cancer biology. Research topics include next gen sequencing analysis, mutation calling in exome seq data, network inference, data integration, and modeling of drug target interactions. Strong computational experience is required. This is a highly collaborative position where a strong supporting team of basic researchers, clinicians, and bioinformaticists have the common goal of understanding cancer biology and cellular response to chemotherapeutics.
In cancer biology, we are witnessing an explosion in the number of techniques and datasets being produced to measure elements within cells at a genome-scale. These range from transcript expression, mutations, proteins, metabolites, and microRNAs, to name a few. Translating these datasets into biological hypothesis has become a challenge that requires both computational expertise in developing, applying, and troubleshooting software and also expertise in placing computational results into the context of the biology being studied. Accordingly, we are seeking a computational biologist/bioinformatician that is proficient with cancer genomics data and is interested in working in a highly interactive interdisciplinary team in cancer biology.
There are many opportunities to develop research projects that coordinate with the strengths of the research group. From the computational side, these strengths include data integration, gene function prediction, network inference, and drug sensitivity modeling. From the cancer biology side, we have focused strengths in prostate and bladder cancers, from basic research in cell culture and mouse models to clinical treatment. The group has a strong translational focus with access to clinical samples and clinicians eager to integrate genomic medicine into their treatment strategies.
This position will be under the supervision of Dr. James Costello, Assistant Professor in the Department of Pharmacology. The Costello lab has collaborative work with many top tier research labs, including those of Dr. Scott Cramer, Professor of Pharmacology, Dr. Dan Theodorescu, Professor of Surgery and Pharmacology and Director of the Cancer Center, Dr. Joaquin Espinosa, Professor of Pharmacology and Associate Director of the Crnic Institute for Down Syndrome, and Dr. Tom Cech, Distinguished Professor of Chemistry and Biochemistry, HHMI Investigator and Director of the BioFrontiers Institute. In addition to the primary responsibilities to the Costello lab, and depending on the research interests of the applicant, additionally collaborative projects with the faculty listed above will be explored.
Computational Biosciences: http://compbio.ucdenver.edu/
Please apply to the job at: https://www.jobsatcu.com/hr/postings/98747 Minimum requirements are a PhD degree in Bioinformatics, Computer Science, Computational Biology or related science. A successful candidate will have research experience and demonstrated expertise in developing algorithms for computational biology applications and analysis of next gen sequencing data. A successful candidate must also have excellent communication skills in translating the results of computational analyses to wet lab scientists. Per the training grant requirement, only US citizen are eligible.
Ability to develop and implement algorithms in a programming language (e.g., C, Java) or scripting language (e.g., Perl, Python). Experience using standard bioinformatics tools and database development (e.g., MySql). Experience in writing and developing methods in a statistical programing environment (e.g. R, MATLAB)
Job Information
Position Type: Post-Doctoral Research Fellowships Reference (Job ID number): 98747 Start Date: July 01, 2015
Duration: Full Time
Status: open
Contact Information
University of Colorado Anschutz Medical Campus
Pharmacology
James Costello
james.costello@ucdenver.eduhttps://www.jobsatcu.com/postings/98747
How To Apply:Please apply at: https://www.jobsatcu.com/hr/postings/98747
Additional Info:
[Click Here to Access the Original Job Post]
Postdoc in Computational Cancer PharmacologyUniversity of Colorado Anschutz Medical CampusPharmacologyUSA-CO-Denver This is a full-time Postdoctoral research position in the Computational Biosciences Program at the University of Colorado, School of Medicine. The National Library of Medicine funded training grant supports this position and encompasses the fields of bioinformatics, systems biology, pharmacology, and cancer biology. Research topics include next gen sequencing analysis, mutation calling in exome seq data, network inference, data integration, and modeling of drug target interactions. Strong computational experience is required. This is a highly collaborative position where a strong supporting team of basic researchers, clinicians, and bioinformaticists have the common goal of understanding cancer biology and cellular response to chemotherapeutics.
In cancer biology, we are witnessing an explosion in the number of techniques and datasets being produced to measure elements within cells at a genome-scale. These range from transcript expression, mutations, proteins, metabolites, and microRNAs, to name a few. Translating these datasets into biological hypothesis has become a challenge that requires both computational expertise in developing, applying, and troubleshooting software and also expertise in placing computational results into the context of the biology being studied. Accordingly, we are seeking a computational biologist/bioinformatician that is proficient with cancer genomics data and is interested in working in a highly interactive interdisciplinary team in cancer biology.
There are many opportunities to develop research projects that coordinate with the strengths of the research group. From the computational side, these strengths include data integration, gene function prediction, network inference, and drug sensitivity modeling. From the cancer biology side, we have focused strengths in prostate and bladder cancers, from basic research in cell culture and mouse models to clinical treatment. The group has a strong translational focus with access to clinical samples and clinicians eager to integrate genomic medicine into their treatment strategies.
This position will be under the supervision of Dr. James Costello, Assistant Professor in the Department of Pharmacology. The Costello lab has collaborative work with many top tier research labs, including those of Dr. Scott Cramer, Professor of Pharmacology, Dr. Dan Theodorescu, Professor of Surgery and Pharmacology and Director of the Cancer Center, Dr. Joaquin Espinosa, Professor of Pharmacology and Associate Director of the Crnic Institute for Down Syndrome, and Dr. Tom Cech, Distinguished Professor of Chemistry and Biochemistry, HHMI Investigator and Director of the BioFrontiers Institute. In addition to the primary responsibilities to the Costello lab, and depending on the research interests of the applicant, additionally collaborative projects with the faculty listed above will be explored.
Computational Biosciences: http://compbio.ucdenver.edu/
Please apply to the job at: https://www.jobsatcu.com/hr/postings/98747 Minimum requirements are a PhD degree in Bioinformatics, Computer Science, Computational Biology or related science. A successful candidate will have research experience and demonstrated expertise in developing algorithms for computational biology applications and analysis of next gen sequencing data. A successful candidate must also have excellent communication skills in translating the results of computational analyses to wet lab scientists. Per the training grant requirement, only US citizen are eligible.
Ability to develop and implement algorithms in a programming language (e.g., C, Java) or scripting language (e.g., Perl, Python). Experience using standard bioinformatics tools and database development (e.g., MySql). Experience in writing and developing methods in a statistical programing environment (e.g. R, MATLAB)
Job Information
Position Type: Post-Doctoral Research Fellowships Reference (Job ID number): 98747 Start Date: July 01, 2015
Duration: Full Time
Status: open
Contact Information
University of Colorado Anschutz Medical Campus
Pharmacology
James Costello
james.costello@ucdenver.eduhttps://www.jobsatcu.com/postings/98747
How To Apply:Please apply at: https://www.jobsatcu.com/hr/postings/98747
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]