Job Description:
Now recruiting for a postdoctoral fellow position within the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (http://tanlab.ucdenver.edu), Division of Medical Oncology, Department of Medicine at the University of Colorado Anschutz Medical Campus. This position is co-mentor by S. Gail Eckhardt and Wells Messersmith, Professors of Medicine, Co-Division Heads in Medical Oncology at the University of Colorado Cancer Center. We are looking for a talented, energetic, highly motivated individual to work on developing computational and statistical algorithms for the analysis and interpretation of next-generation sequencing datasets in melanoma research. The major goals of the projects are the systematic characterization of gasterointestinal (CRC, Pancreatic, etc) samples by integrating multiple “omics” data sources. The immediate applications of these well-characterized GI samples can be used for novel oncology drug testing and predictive biomarkers development. The research fellow will have the opportunity to be trained by computational and experimental mentors, and he/she will have the opportunity to collaborate with cutting-edge oncology research groups at the University of Colorado Cancer Center and work on translational research projects. The position will not be involved in course instruction and is not eligible for tenure.
The individual in this position will be responsible for developing and implementing computational biology and bioinformatics methods to analyze and interpret genome-scale projects using next generation sequencing technology. Primary duties will include but will not be limited to the design and implementation of algorithms to map, annotate, integrate, organize and visualize data generated by next generation sequencing instruments, for use in downstream statistical analyses and validation.
Specific research lab duties include:
-Develop and implement computational algorithms for the analysis and interpretation of next-generation sequencing data;
-Develop and implement bioinformatics workflow for the storage and mange of multiple “omics” databases
-Contribute to manuscript and abstract writing and presentation;
-Contribute to grant preparations;
-Familiarity with computational biology and bioinformatics techniques is essential;
-Participation in research meetings, case conferences, team meetings, weekly individual supervision;
-Completes all necessary research recordkeeping and documentation and timely data entry;
-No supervisory responsibilities;
-Willingly accepts additional responsibilities and duties as assigned by management.
-Performs other related research duties and procedures, including special research projects and those related to managing patient samples from clinical trials, as directed.
Applications are accepted electronically at www.jobsatcu.com, refer to job posting F01398 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 strongly supports the principle of diversity. 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 for this position requires a Doctorate degree, graduation from an accredited college or university with a PhD in computational biology, bioinformatics or a related discipline (computer science, statistics, biology, physics, and mathematics). Strong computer programming (perl/python, C/C++, Java, Matlab/R), familiar with Unix/Mac/Windows and analytical skills are required.
The final candidate should have:
-Excellent organizational and communication skills.
-Strong computer programming (e.g. perl/python, C/C++, Java, Matlab/R) skills.
-Ability to multi-tasking.
-Ability to develop new techniques and methods through literature searches and work effectively to assure rapid research progress.
-Ability to work collaboratively is essential.
-Experience in next-generation sequencing and microarray gene expression analyses (as evidenced by publications in peer-viewed journals).
-Ability to meet project deadlines
Prior research experience working with bioinformatics, data mining, machine learning and/or microarray gene expression is preferred. Strong computer programming skills is a plus. Experience in next-generation sequencing and microarray gene expression analyses (as evidenced by publications in peer-viewed journals) is a significant plus. Proficient with Microsoft software (Word, Excel, PowerPoint, Access, Outlook) preferred. Must be team-oriented, flexible, able to communicate and motivate collaborative partners; must possess ability to work independently and effectively to develop new techniques; be self-motivated; demonstrated successful planning and management skills in behavioral research and/or research projects.
Job Information
Position Type: Post-Doctoral Research Fellowships
Reference (Job ID number): F01398
Start Date: ASAP
Duration: Full Time
Status: open
Additional Info:
[Click Here to Access the Original Job Post]
Now recruiting for a postdoctoral fellow position within the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (http://tanlab.ucdenver.edu), Division of Medical Oncology, Department of Medicine at the University of Colorado Anschutz Medical Campus. This position is co-mentor by S. Gail Eckhardt and Wells Messersmith, Professors of Medicine, Co-Division Heads in Medical Oncology at the University of Colorado Cancer Center. We are looking for a talented, energetic, highly motivated individual to work on developing computational and statistical algorithms for the analysis and interpretation of next-generation sequencing datasets in melanoma research. The major goals of the projects are the systematic characterization of gasterointestinal (CRC, Pancreatic, etc) samples by integrating multiple “omics” data sources. The immediate applications of these well-characterized GI samples can be used for novel oncology drug testing and predictive biomarkers development. The research fellow will have the opportunity to be trained by computational and experimental mentors, and he/she will have the opportunity to collaborate with cutting-edge oncology research groups at the University of Colorado Cancer Center and work on translational research projects. The position will not be involved in course instruction and is not eligible for tenure.
The individual in this position will be responsible for developing and implementing computational biology and bioinformatics methods to analyze and interpret genome-scale projects using next generation sequencing technology. Primary duties will include but will not be limited to the design and implementation of algorithms to map, annotate, integrate, organize and visualize data generated by next generation sequencing instruments, for use in downstream statistical analyses and validation.
Specific research lab duties include:
-Develop and implement computational algorithms for the analysis and interpretation of next-generation sequencing data;
-Develop and implement bioinformatics workflow for the storage and mange of multiple “omics” databases
-Contribute to manuscript and abstract writing and presentation;
-Contribute to grant preparations;
-Familiarity with computational biology and bioinformatics techniques is essential;
-Participation in research meetings, case conferences, team meetings, weekly individual supervision;
-Completes all necessary research recordkeeping and documentation and timely data entry;
-No supervisory responsibilities;
-Willingly accepts additional responsibilities and duties as assigned by management.
-Performs other related research duties and procedures, including special research projects and those related to managing patient samples from clinical trials, as directed.
Applications are accepted electronically at www.jobsatcu.com, refer to job posting F01398 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 strongly supports the principle of diversity. 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 for this position requires a Doctorate degree, graduation from an accredited college or university with a PhD in computational biology, bioinformatics or a related discipline (computer science, statistics, biology, physics, and mathematics). Strong computer programming (perl/python, C/C++, Java, Matlab/R), familiar with Unix/Mac/Windows and analytical skills are required.
The final candidate should have:
-Excellent organizational and communication skills.
-Strong computer programming (e.g. perl/python, C/C++, Java, Matlab/R) skills.
-Ability to multi-tasking.
-Ability to develop new techniques and methods through literature searches and work effectively to assure rapid research progress.
-Ability to work collaboratively is essential.
-Experience in next-generation sequencing and microarray gene expression analyses (as evidenced by publications in peer-viewed journals).
-Ability to meet project deadlines
Prior research experience working with bioinformatics, data mining, machine learning and/or microarray gene expression is preferred. Strong computer programming skills is a plus. Experience in next-generation sequencing and microarray gene expression analyses (as evidenced by publications in peer-viewed journals) is a significant plus. Proficient with Microsoft software (Word, Excel, PowerPoint, Access, Outlook) preferred. Must be team-oriented, flexible, able to communicate and motivate collaborative partners; must possess ability to work independently and effectively to develop new techniques; be self-motivated; demonstrated successful planning and management skills in behavioral research and/or research projects.
Job Information
Position Type: Post-Doctoral Research Fellowships
Reference (Job ID number): F01398
Start Date: ASAP
Duration: Full Time
Status: open
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]