Jr. Software Engineer
Los Angeles, CA

Job Description

Your responsibilities will be to use your design, analysis and programming skills to create Data Science software, optimize existing code and improve its quality and improve distributability boost productivity of the entire team. You may have experience in data-intensive software development or research, or you may be experienced with software engineering in an enterprise environment. You will help drive professional-level design and development practices throughout the entire team, and serve as a local point of expertise for workflow optimization and containerization. You will typically have one major and several minor projects at any point in time. We are in a rapid growth-phase, and the successful candidate will be involved in hiring of new team members. Beyond your strong inter-personal skills and computer science background, you will have experience with either systems software, databases or algorithms, linked to implementation skills at least one of C++, R, Perl or Python. You will be comfortable in UNIX/Linux environments and using continuous integration and CASE tools.

Responsibilities

The newly formed Cancer Data Sciences group at the UCLA David Geffen School of Medicine and UCLA Jonsson Comprehensive Cancer Centre is seeking a programmer/analyst with research and development experience. The successful candidate will be working with a broad team of Data Scientists, developing new quantitative strategies to improve our understanding and ability to treat cancer. Programmer/Analysts in our team are passionate about applying their knowledge of software-development and design to improve scientific research. They develop scalable and distributed software solutions that maximize utilitilization of both local high-performance computer infrastructure and a growing set of cloud-based assets. Our datasets comprise hundreds of terrabytes, and are growing rapidly, creating fascinating problems in storage, access, parallelization, distributability, optimization, containerization and core algorithm design. This requires a strong background in computer science, providing a platform for technical leadership, but linked to strong personal communication and leadership skills, to help ensure insights are broadly adopted. The successful candidate will be helping us perform research that will transform the lives of cancer patients.

Your responsibilities will be to use your design, analysis and programming skills to create Data Science software, optimize existing code and improve its quality and improve distributability boost productivity of the entire team. You may have experience in data-intensive software development or research, or you may be experienced with software engineering in an enterprise environment. You will help drive professional-level design and development practices throughout the entire team, and serve as a local point of expertise for workflow optimization and containerization. You will typically have one major and several minor projects at any point in time. We are in a rapid growth-phase, and the successful candidate will be involved in hiring of new team members. Beyond your strong inter-personal skills and computer science background, you will have experience with either systems software, databases or algorithms, linked to implementation skills at least one of C++, R, Perl or Python. You will be comfortable in UNIX/Linux environments and using continuous integration and CASE tools.

Qualifications

Working knowledge of C++,R, Perl or Python programming. Working knowledge of software development tools and CASE tools. Strong verbal, interpersonal, and written communication skills. Experience with the software development including implementing designs and validating implementations against the original requirements. Knowledge of LINUX/Unix operating system, and source-code versioning systems. Strong computer science knowledge, including software design patterns. Knowledge of SQL and data modeling. Working knowledge of containerization (e.g. Docker, Singularity). Familiarity with distributed programming. Experience with machine-learning, bioinformatics and cancer or molecular biology. Knowledge of relational database software (e.g. Oracle, Postgres).