Career opportunities

• Systems Analyst / Programmer II
• Systems Analyst / Programmer IV

Contact mtmorgan at fhcrc.org or visit the FHCRC careers web site for more information

SYSTEMS ANALYST PROGRAMMER II

This opportunity is also posted online.

The Bioconductor project seeks a creative and motivated individual to join our bioinformatics team. Bioconductor develops and distributes open-source, open-development software for analysis and comprehension of high-throughput genomic data from sequencing and other sources. Bioconductor is based on the R language for statistical analysis, with more than 670 software packages developed internally and by our vibrant user community.

SCOPE OF RESPONSIBILITIES

This unique opportunity emphasizes scientific computing software development. The successful candidate will work under immediate technical direction. The successful candidate will develop and maintain algorithms and data representations for use by our vibrant user community. The successful candidate will become familiar with the bioinformatic needs of our users. The successful candidate will have responsibility for implementing software packages in specific domains of application, and will share responsibility with other team members for routine maintenance of our large base of existing and user-contributed packages.

MAJOR DUTIES

This position involves software development, primarily related to annotation and analysis of high-throughput sequence data using R / Bioconductor tools. The successful candidate will write robust R code for efficiently organizing and processing large volumes of sequence and annotation data. The successful candidate will have responsibility for implementing cloud-based data management solutions that integrate with the R environment. The successful candidate will participate in our Agile-like development process. The successful candidate will also participate in Bioconductor activities involved with user interaction: technical support contact through our mailing list; evaluation of new user-contributed packages; and training courses / annual conferences.

MINIMUM QUALIFICATIONS

1. Bachelor’s degree with one year of experience in biostatistics, computer science, bioinformatics, or related disciplines.
2. Familiarity with programming languages, especially C and R.
3. High-level familiarity with modern web services implementations.
4. Familiarity with statistical concepts and methods.
5. Experience with software development best practices, for instance use of version control, unit tests, agile project management, and creation of end-user documentation.

Recommended qualifications include:

1. Ability to implement reusable, user-directed software.
2. Familiarity with managing high-volume genetic data, such as from next-generation sequence pipelines, and with relevant public annotation resources.
3. Familiarity with and enthusiasm for diverse programming languages and paradigms.
4. Enthusiasm for molecular biological processes.
5. Familiarity with bioinformatic work flows.

SYSTEMS ANALYST PROGRAMMER IV

This opportunity is also posted online.

The Bioconductor project seeks a creative and motivated individual to join our bioinformatics team. Bioconductor develops and distributes open-source, open-development software for analysis and comprehension of high-throughput genomic data from sequencing and other sources. Bioconductor is based on the R language for statistical analysis, with more than 670 software packages developed internally and by our vibrant user community.

SCOPE OF RESPONSIBILITIES

This unique opportunity emphasizes scientific computing software engineering. The successful candidate will work under immediate technical direction. The successful candidate will develop and maintain algorithms and data representations for use by our vibrant user community. The successful candidate will become familiar with the bioinformatic needs of our users. The successful candidate will have responsibility for overall design and implementation of software packages in specific domains of application, and will share responsibility with other team members for routine maintenance of our large base of existing and user-contributed packages.

MAJOR DUTIES

This position involves software development, primarily related to analysis of high-throughput sequence data using R / Bioconductor tools. The successful candidate will write advanced and robust R code for efficiently organizing and processing large volumes of sequence data. The successful candidate will write performant C / C++ code in support of advanced functionality, and to interface with third party libraries. Depending on qualifications or expertise, the successful candidate will have responsibility for cloud-based and high-performance computing development tasks. The successful candidate will participate in our Agile-like development process. The successful candidate will also participate in Bioconductor activities involved with user interaction: technical support contact through our mailing list; evaluation of new user-contributed packages; and training courses / annual conferences.

MINIMUM QUALIFICATIONS

1. Bachelor’s (Master’s or higher preferred) degree with three years of experience in biostatistics, computer science, bioinformatics, or related disciplines.
2. Familiarity with the R programming language. Experience writing C / C++ or other high-performance code.
3. Familiarity with computational approaches to parallel evaluation.
4. Familiarity with statistical concepts and methods.
5. Experience with software development best practices, for instance use of version control, unit tests, agile project management, and creation of end-user documentation.

Recommended qualifications include:

1. Ability to design and implement reusable, user-directed software.
2. Experience with managing high-volume genetic data, such as from next-generation sequence pipelines, and with relevant public annotation resources.
3. Experience and enthusiasm for diverse programming languages and paradigms
4. Enthusiasm for molecular biological processes.
5. Experience with bioinformatic work flows.