Job ID: 3954
Job date: 2015-07-30
End Date:
Company : California Institute of Technology Country : Role : Student
Job date: 2015-07-30
End Date:
Company : California Institute of Technology Country : Role : Student
Job Description:
Caltech
Job Category: Fulltime Regular
Job Summary:
We are seeking a dependable and creative individual with superb statistical intuition, excellent computer programming skills, and a strong interest in the biological sciences. The candidate will design and implement novel statistical methods and computational tools for the analysis of various distinct high throughput datasets. The candidate will develop novel computational methods to analyze and integrate new experimental data-types generated by the lab as well as develop computational pipelines and workflows for the analysis of large scale datasets. The candidate will have a unique opportunity to work with cutting-edge experimental datasets generated in the lab and will be an integral part of the data generation process through direct communication with experimental scientists to facilitate project completion, address technical problems, and determining the methods to be used in research. The candidate will adapt easily to changing needs and priorities of a fast-paced research environment and will work closely with other technical staff, graduate students, post-doctoral fellows, and lab head in developing and applying computational and statistical methods as needed.
PROJECT DESCRIPTION :
Our group recently identified a new class of mammalian non-coding RNA genes, termed lncRNAs with important roles in human biology and disease. These lncRNAs exert their regulatory influence on the genome in uncharacterized ways. We are looking for a highly motivated individual to join our integrative computational and experimental team to help develop and implement computational methods to analyze and integrate various high throughput datasets. Specifically, the candidate will develop methods for computational analysis of various types of high-throughput datasets to probe the function and mechanism of lncRNAs. This will include algorithms to analyze and integrate data from lncRNA-protein, lncRNA- DNA , and genetic perturbation data.
Job Duties:
Implements statistical methods and computational algorithms for analyzing large-scale datasets that are essential to the overall project success.• Analyzes diverse data types to extract biologically relevant findings.• Distills information into biologically relevant findings which are communicated to the team in writing and/or verbally.• Writes and oversees the development of analytical pipelines to standardize the analysis needs of the overall project.• Analyzes experimental data and identifies methodological problems. Adjusts existing algorithms to ensure project completion in a timely fashion.• Works directly with team leader and other lab members to refine computational methods and ensure project completion in a timely fashion.• Works closely with experimental scientists to analyze and iterate through experimental data and designs.• Attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals in a dynamic environment.• Maintains a detailed plan to ensure successful and timely completion of required tasks.• Will help other technical staff, graduate students, and post-doctoral fellows in data analysis and computational methods as needed.• Consults with other senior scientists or scientific literature as needed.• Other tasks as required. Basic Qualifications:
Bachelor’s degree in computational biology, mathematics, bioinformatics, computer science, statistics, or related quantitative field required.• Strong knowledge and interest in biology and/or biomedical research required.• Excellent skills in at least one programming language required.• Excellent background in statistics/biostatistics and data analysis required.• Excellent working knowledge of the Unix operating system.• Excellent communication skills and the ability to interact professionally with all levels of staff across different areas of expertise (both experimental and computational).• Excellent organization and time management skills.• Ability to handle a variety of tasks simultaneously required.• Must be able to use sound judgment to handle a variety of tasks and to shift priorities simultaneously, as well as to effectively solve problems.• Must possess a high level of initiative and the ability to work with little supervision. Preferred Qualifications:
Experience in an object oriented programming language (ie Java, Python) a plus. Experience working in analytical software packages (ie R, Matlab) a plus Prior experience working in biology or biomedical-related sciences a strong plus Familiarity with high-throughput sequencing data a plus To be considered for this position please visit our web site and apply on line at the following link: jobs.caltech.edu We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Copyright ©2015 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency
jeid-a6a2482c3c0d8a4399063fcb9934fcbf
Additional Info:
[Click Here to Access the Original Job Post]
Caltech
Job Category: Fulltime Regular
Job Summary:
We are seeking a dependable and creative individual with superb statistical intuition, excellent computer programming skills, and a strong interest in the biological sciences. The candidate will design and implement novel statistical methods and computational tools for the analysis of various distinct high throughput datasets. The candidate will develop novel computational methods to analyze and integrate new experimental data-types generated by the lab as well as develop computational pipelines and workflows for the analysis of large scale datasets. The candidate will have a unique opportunity to work with cutting-edge experimental datasets generated in the lab and will be an integral part of the data generation process through direct communication with experimental scientists to facilitate project completion, address technical problems, and determining the methods to be used in research. The candidate will adapt easily to changing needs and priorities of a fast-paced research environment and will work closely with other technical staff, graduate students, post-doctoral fellows, and lab head in developing and applying computational and statistical methods as needed.
PROJECT DESCRIPTION :
Our group recently identified a new class of mammalian non-coding RNA genes, termed lncRNAs with important roles in human biology and disease. These lncRNAs exert their regulatory influence on the genome in uncharacterized ways. We are looking for a highly motivated individual to join our integrative computational and experimental team to help develop and implement computational methods to analyze and integrate various high throughput datasets. Specifically, the candidate will develop methods for computational analysis of various types of high-throughput datasets to probe the function and mechanism of lncRNAs. This will include algorithms to analyze and integrate data from lncRNA-protein, lncRNA- DNA , and genetic perturbation data.
Job Duties:
Implements statistical methods and computational algorithms for analyzing large-scale datasets that are essential to the overall project success.• Analyzes diverse data types to extract biologically relevant findings.• Distills information into biologically relevant findings which are communicated to the team in writing and/or verbally.• Writes and oversees the development of analytical pipelines to standardize the analysis needs of the overall project.• Analyzes experimental data and identifies methodological problems. Adjusts existing algorithms to ensure project completion in a timely fashion.• Works directly with team leader and other lab members to refine computational methods and ensure project completion in a timely fashion.• Works closely with experimental scientists to analyze and iterate through experimental data and designs.• Attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals in a dynamic environment.• Maintains a detailed plan to ensure successful and timely completion of required tasks.• Will help other technical staff, graduate students, and post-doctoral fellows in data analysis and computational methods as needed.• Consults with other senior scientists or scientific literature as needed.• Other tasks as required. Basic Qualifications:
Bachelor’s degree in computational biology, mathematics, bioinformatics, computer science, statistics, or related quantitative field required.• Strong knowledge and interest in biology and/or biomedical research required.• Excellent skills in at least one programming language required.• Excellent background in statistics/biostatistics and data analysis required.• Excellent working knowledge of the Unix operating system.• Excellent communication skills and the ability to interact professionally with all levels of staff across different areas of expertise (both experimental and computational).• Excellent organization and time management skills.• Ability to handle a variety of tasks simultaneously required.• Must be able to use sound judgment to handle a variety of tasks and to shift priorities simultaneously, as well as to effectively solve problems.• Must possess a high level of initiative and the ability to work with little supervision. Preferred Qualifications:
Experience in an object oriented programming language (ie Java, Python) a plus. Experience working in analytical software packages (ie R, Matlab) a plus Prior experience working in biology or biomedical-related sciences a strong plus Familiarity with high-throughput sequencing data a plus To be considered for this position please visit our web site and apply on line at the following link: jobs.caltech.edu We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Copyright ©2015 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency
jeid-a6a2482c3c0d8a4399063fcb9934fcbf
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]