Job Description:
The Costello lab in the Department of Pharmacology is looking for a full-time Postdoctoral Researcher. The Costello lab focuses on Cancer Pharmacology and combines wet and dry research to address fundamental questions on how therapeutics interact with cells. 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 with a strong supporting team of basic researchers, clinicians, and Bioinformaticists.
Posting Description
The Costello lab in the Department of Pharmacology is looking for full-time postdoctoral researchers and Bioinformatics programmers. The Costello lab focuses on Cancer Pharmacology and combines wet and dry research to address fundamental questions on how therapeutics interact with cells. 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 with a strong supporting team of basic researchers, clinicians, and Bioinformaticists.
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.
Applications are accepted electronically ONLY at www.jobsatcu.com, refer to job posting F02363
Review of applications will continue until the position is filled.
Salary is commensurate with skills and experience. The University of Colorado offers a full benefits package. Information on University benefits programs, including eligibility, is located at https://www.cu.edu/employee-services.
The University of Colorado Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
The University of Colorado Denver is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.
Minimum Qualifications
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.
Required Competencies/Knowledge, Skills and abilities
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 )
Desired Qualifications
A successful candidate should have some exposure to wet lab science, preferably having performed their own experiments.
Special instructions to applicants
Required Application Materials:
When applying at www.jobsatcu.com, applicants must include:
1) A letter of application which specifically addresses the job requirements and outlines qualifications
2) A current CV/resume
3) The names, addresses, daytime telephone numbers and e-mail addresses for three professional references
Reference checks are a standard step in our hiring process. You may be asked to provide contact information, including e-mail addresses, for up to 5 references if you are referred to the Hiring Authority for interview. We will notify you prior to contacting both on and off-list references.
Job posting contact
Jennifer Rhea
Job posting contact telephone
303-724-3286
Job posting contact email
jennifer.rhea@ucdenver.edu
Job Posting Number
F02363
Quicklink for Posting
http://www.jobsatcu.com: 80/postings/98747
Additional Info:
[Click Here to Access the Original Job Post]
The Costello lab in the Department of Pharmacology is looking for a full-time Postdoctoral Researcher. The Costello lab focuses on Cancer Pharmacology and combines wet and dry research to address fundamental questions on how therapeutics interact with cells. 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 with a strong supporting team of basic researchers, clinicians, and Bioinformaticists.
Posting Description
The Costello lab in the Department of Pharmacology is looking for full-time postdoctoral researchers and Bioinformatics programmers. The Costello lab focuses on Cancer Pharmacology and combines wet and dry research to address fundamental questions on how therapeutics interact with cells. 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 with a strong supporting team of basic researchers, clinicians, and Bioinformaticists.
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.
Applications are accepted electronically ONLY at www.jobsatcu.com, refer to job posting F02363
Review of applications will continue until the position is filled.
Salary is commensurate with skills and experience. The University of Colorado offers a full benefits package. Information on University benefits programs, including eligibility, is located at https://www.cu.edu/employee-services.
The University of Colorado Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
The University of Colorado Denver is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.
Minimum Qualifications
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.
Required Competencies/Knowledge, Skills and abilities
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 )
Desired Qualifications
A successful candidate should have some exposure to wet lab science, preferably having performed their own experiments.
Special instructions to applicants
Required Application Materials:
When applying at www.jobsatcu.com, applicants must include:
1) A letter of application which specifically addresses the job requirements and outlines qualifications
2) A current CV/resume
3) The names, addresses, daytime telephone numbers and e-mail addresses for three professional references
Reference checks are a standard step in our hiring process. You may be asked to provide contact information, including e-mail addresses, for up to 5 references if you are referred to the Hiring Authority for interview. We will notify you prior to contacting both on and off-list references.
Job posting contact
Jennifer Rhea
Job posting contact telephone
303-724-3286
Job posting contact email
jennifer.rhea@ucdenver.edu
Job Posting Number
F02363
Quicklink for Posting
http://www.jobsatcu.com: 80/postings/98747
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]