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NYGC is hiring two software engineers, one to work on computational pipelines for data analysis and the other to work on scientific data visualization. To apply please submit a resume or CV and cover letter to [email protected].
Scientific Software Engineer, Visualization
Position Description
The incumbent will support our rapidly expanding informatics division. The ideal candidate will be a pragmatic team player with experience developing and supporting scientific data visualization.
Essential duties and responsibilities include the following:
• Collaborate with bioinformatic scientists, users, and stakeholders to define requirements and specifications for data visualization tools for genomic data, as well as web based dashboards, and customer facing web interfaces.
• Prototype, develop, deploy, document, and support production-quality software.
• Support analysis and sequencing operations by deploying web interfaces to the data analysis pipeline.
• Support customization of local software, including our Lab Information Management System (LIMS) and integration with other Enterprise software.
• Contribute as needed to basic Unix / Linux system administration and automation tasks.
• Develop expertise in the scientific and computational resources of the center.
Candidate Profile
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• BS in Computer Science, computer engineering, or related field plus five years related experience; master’s degree plus two years related experience, or equivalent combination of education and experience.
• Software engineering experience, preferably supporting data visualization in the life sciences.
• Demonstrated project management skills and ability to produce readable, documented code.
• Proficiency in Python (Numpy, Scipy, Cython), Unix shell scripting and GNU tools
• Proficiency in Java and/or C++.
• Experience with relational (e.g., mySQL, PostgreSQL) or NoSQL databases (e.g., CouchDB, Couchbase).
• Experience with version control and source code management systems (e.g.,GIT).
• Experience with working with the LAMP stack.
• Experience with scientific data visualization tools.
• Effective written and oral communication skills.
Scientific Software Engineer, Pipeline
Position Description
The incumbent will support our rapidly expanding informatics division. The ideal candidate will be a pragmatic team player with experience developing and supporting software for scientific applications, focused on computational pipelines for data analysis.
Essential duties and responsibilities include the following. Other duties may be assigned.
• Collaborate with bioinformatic scientists, users, and stakeholders to define requirements and specifications for data processing pipelines, analysis tools, and user interfaces.
• Prototype, develop, deploy, document, and support production-quality software.
• Support analysis and sequencing operations with scripting, data motion, interface, and automation coding.
• Support customization and integration of local software, including our Lab Information Management System (LIMS) and integration with other Enterprise software.
• Contribute as needed to basic Unix / Linux system administration and automation tasks.
• Develop expertise in the scientific and computational resources of the center.
Candidate Profile
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• BS in Computer Science, computer engineering, or related field plus five years related experience; master’s degree plus two years related experience, or equivalent combination of education and experience.
• Software engineering experience, preferably supporting the life sciences in data analysis and automation.
• Demonstrated project management skills and ability to produce readable, documented code.
• Proficiency in Python (Numpy, Scipy, Cython), Unix shell scripting and GNU tools.
• Experience with relational (e.g., mySQL, PostgreSQL) or NoSQL databases (e.g., CouchDB, Couchbase).
• Experience with version control and source code management systems (e.g.,GIT).
• Familiarity with batch scheduled high throughput computing using queuing systems (e.g., SGE or LSF).
• Effective written and oral communication skills.
Scientific Software Engineer, Visualization
Position Description
The incumbent will support our rapidly expanding informatics division. The ideal candidate will be a pragmatic team player with experience developing and supporting scientific data visualization.
Essential duties and responsibilities include the following:
• Collaborate with bioinformatic scientists, users, and stakeholders to define requirements and specifications for data visualization tools for genomic data, as well as web based dashboards, and customer facing web interfaces.
• Prototype, develop, deploy, document, and support production-quality software.
• Support analysis and sequencing operations by deploying web interfaces to the data analysis pipeline.
• Support customization of local software, including our Lab Information Management System (LIMS) and integration with other Enterprise software.
• Contribute as needed to basic Unix / Linux system administration and automation tasks.
• Develop expertise in the scientific and computational resources of the center.
Candidate Profile
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• BS in Computer Science, computer engineering, or related field plus five years related experience; master’s degree plus two years related experience, or equivalent combination of education and experience.
• Software engineering experience, preferably supporting data visualization in the life sciences.
• Demonstrated project management skills and ability to produce readable, documented code.
• Proficiency in Python (Numpy, Scipy, Cython), Unix shell scripting and GNU tools
• Proficiency in Java and/or C++.
• Experience with relational (e.g., mySQL, PostgreSQL) or NoSQL databases (e.g., CouchDB, Couchbase).
• Experience with version control and source code management systems (e.g.,GIT).
• Experience with working with the LAMP stack.
• Experience with scientific data visualization tools.
• Effective written and oral communication skills.
Scientific Software Engineer, Pipeline
Position Description
The incumbent will support our rapidly expanding informatics division. The ideal candidate will be a pragmatic team player with experience developing and supporting software for scientific applications, focused on computational pipelines for data analysis.
Essential duties and responsibilities include the following. Other duties may be assigned.
• Collaborate with bioinformatic scientists, users, and stakeholders to define requirements and specifications for data processing pipelines, analysis tools, and user interfaces.
• Prototype, develop, deploy, document, and support production-quality software.
• Support analysis and sequencing operations with scripting, data motion, interface, and automation coding.
• Support customization and integration of local software, including our Lab Information Management System (LIMS) and integration with other Enterprise software.
• Contribute as needed to basic Unix / Linux system administration and automation tasks.
• Develop expertise in the scientific and computational resources of the center.
Candidate Profile
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• BS in Computer Science, computer engineering, or related field plus five years related experience; master’s degree plus two years related experience, or equivalent combination of education and experience.
• Software engineering experience, preferably supporting the life sciences in data analysis and automation.
• Demonstrated project management skills and ability to produce readable, documented code.
• Proficiency in Python (Numpy, Scipy, Cython), Unix shell scripting and GNU tools.
• Experience with relational (e.g., mySQL, PostgreSQL) or NoSQL databases (e.g., CouchDB, Couchbase).
• Experience with version control and source code management systems (e.g.,GIT).
• Familiarity with batch scheduled high throughput computing using queuing systems (e.g., SGE or LSF).
• Effective written and oral communication skills.