Job ID:
Job date: 2018-05-03
End Date: 2018-07-02
Company : Columbia University Country : United States Role : Technician
Job date: 2018-05-03
End Date: 2018-07-02
Company : Columbia University Country : United States Role : Technician
Job Description:
The Department of Systems Biology at Columbia University Medical Center has an opening for a Bioinformatics Software Developer for Dr. Andrea Califano's laboratory. We are looking for a full-stack software engineer to lead the design and implementation of innovative new tools for visualization, data sharing and pipeline development for large-scale, omics-based models of human disease. The Califano lab researches the molecular determinants of human pathophysiology, with a specific focus on cancer and stem cell biology. We pursue a novel strategy to target cancer, focusing on protein activity and its relationship to the genomic drivers of disease, rather than focusing on the genomics alone. This approach, implemented by a suite of network-based algorithms, identifies the master regulators of human disease and of other pathophysiologic phenotypes from molecular profiles of individual tissues and single cells. We can then prioritize small molecule compounds that are optimally suited to target these mechanisms, and design clinical trials to evaluate the effectiveness of prioritized compounds for individual patients. We seek a software developer/bioinformatician with experience developing web-based front-ends driving bioinformatics pipelines running on a large-scale distributed computing architecture. The preferred candidate will use his or her understanding of software and API design to lead the development of intuitive tools that will allow our lab to share knowledge involving large-scale gene interaction networks, including proteins, genes and other biomolecules, as well as their role in determining biologically and clinically relevant phenotypes. Experience or a strong interest in biology is a plus as is the ability to team up with computational biologists to design the most effective applications for interpreting complex datasets of cancer and other disease. And not necessary but highly desired, the ideal candidate will also have experience in network/systems biology, including analysis of regulatory networks, integrative analysis to combine evidence from multiple data modalities, and expertise with Bioconductor packages. Characteristic Duties and Responsibilities:
Additional Info:
Essential Functions Additional Essential Functions (Limit to 3950 characters.) Special Indications This position works with: HIPAA Compliance training required : Yes Participation in Medical Surveillance required : No What type of posting? Is this a waiver request? Standard Posting Requisition Open Date : 05-02-2018 Quick Link : jobs.columbia.edu/applicants/Central?quickFind=168993 [Click Here to Access the Original Job Post]
The Department of Systems Biology at Columbia University Medical Center has an opening for a Bioinformatics Software Developer for Dr. Andrea Califano's laboratory. We are looking for a full-stack software engineer to lead the design and implementation of innovative new tools for visualization, data sharing and pipeline development for large-scale, omics-based models of human disease. The Califano lab researches the molecular determinants of human pathophysiology, with a specific focus on cancer and stem cell biology. We pursue a novel strategy to target cancer, focusing on protein activity and its relationship to the genomic drivers of disease, rather than focusing on the genomics alone. This approach, implemented by a suite of network-based algorithms, identifies the master regulators of human disease and of other pathophysiologic phenotypes from molecular profiles of individual tissues and single cells. We can then prioritize small molecule compounds that are optimally suited to target these mechanisms, and design clinical trials to evaluate the effectiveness of prioritized compounds for individual patients. We seek a software developer/bioinformatician with experience developing web-based front-ends driving bioinformatics pipelines running on a large-scale distributed computing architecture. The preferred candidate will use his or her understanding of software and API design to lead the development of intuitive tools that will allow our lab to share knowledge involving large-scale gene interaction networks, including proteins, genes and other biomolecules, as well as their role in determining biologically and clinically relevant phenotypes. Experience or a strong interest in biology is a plus as is the ability to team up with computational biologists to design the most effective applications for interpreting complex datasets of cancer and other disease. And not necessary but highly desired, the ideal candidate will also have experience in network/systems biology, including analysis of regulatory networks, integrative analysis to combine evidence from multiple data modalities, and expertise with Bioconductor packages. Characteristic Duties and Responsibilities:
- Architect and build a high availability web applications to allow members of the scientific community to query results from state-of-the-art computational methods and support integrative data analysis in a variety of human disease and normal physiology settings.
- Become familiar, debug, and maintain robust, fully automated computational pipelines implemented by lab members to elucidate molecular mechanisms and associated small molecule compound dependencies in human disease and human physiology based on the integrative, network-based analysis of multiple 'omics data types.
- Collect and curate publicly available 'omics data sets to support integrative analysis in systems biology based studies.
- Design novel integrative and automation frameworks to create novel pipelines for the analysis of 'omics data.
- Bachelor's degree in Computational Biology, Bioinformatics, Computer Science, Genetics, or equivalent in education and experience, plus four years of related experience.
- Programming: Fluency with R, Java and at least one general-purpose programming language (such as C/C++, Ruby, Perl, or Python). Experience with source code version control systems.
- Web application design and architecture, including experience with REST-based web services and a framework such as Django or Angular. Experience in programming with JavaScript and JavaScript libraries is essential.
- Excellent communication skills and teamwork.
- Strong creative thinking and problem solving skills.
- Demonstrated experience in high-throughput sequencing data analysis or method development.
- The ideal candidate will have a MS or other advanced degree in Computational Biology, Bioinformatics or Genetics, or equivalent.
- Prior experience in software engineering and in the design of software for the bioinformatics/systems-biology analysis of biological systems is highly desirable.
- The ideal candidate will have significant experience in R and in the use of R packages for bioinformatics analyses, including the Bioconductor framework.
- Experience with graph database design and languages (e.g. Neo4j) is desired.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Database design
- Django
- JavaScript
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- Software Design
- Systems Biology
- Version Control
Areas :
Additional Info:
Essential Functions Additional Essential Functions (Limit to 3950 characters.) Special Indications This position works with: HIPAA Compliance training required : Yes Participation in Medical Surveillance required : No What type of posting? Is this a waiver request? Standard Posting Requisition Open Date : 05-02-2018 Quick Link : jobs.columbia.edu/applicants/Central?quickFind=168993 [Click Here to Access the Original Job Post]