Research Software Developer - 135951

9500 Gilman Drive, La Jolla, CA, 92093

# Research Software Developer

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UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.

UCSD Layoff from Career Appointment : Apply by 07/14/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants : Apply by 07/24/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance.

DESCRIPTION

The Research Software Developer position is in the software development team at the Ideker lab () in the UCSD School of Medicine, a lab known for its friendly, inclusive, and collaborative environment. The software development team has a strong track record of mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. The Ideker lab also supports multiple open-source software projects, some with 10K+ users.

The Research Software Developer will work under the supervision of the senior members of the software development team on a wide range of projects.

The incumbent will assist in creating and maintaining software and websites supporting researchers in the Ideker laboratory. In this role, they will work closely with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by the researchers. They will participate in the productization cutting-edge research, making techniques broadly available via toolkits, web applications, and web services. In some cases, they will contribute to the writing of grant proposals and academic papers.

The incumbent will also participate in the development, production, and support of the open-source software projects Cytoscape and NDEx. ( In this work, they will use multiple technologies (both front-end, back-end, and database). They must successfully acquire skills in new programming languages and environments, packages, and databases as the needs of the lab develop.

Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives.

MINIMUM QUALIFICATIONS

• Six years of related experience, education/training, OR an Bachelor's degree in related area plus two years of related experience/training.

• Working knowledge of bioinformatics methods and data structures.

• Working knowledge of applications programming and web development. Experience with web development, building user interfaces, working with REST services, and basic Linux skills preferred.

• Working knowledge of databases.

• Working project management skills.

• Working knowledge of modern biology and applicable field of research.

• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.

• Ability to communicate technical information in a clear and concise manner. Ability to communicate effectively with researchers with a wide range of technical expertise, especially during requirements gathering, training,question answering, and presentations.

• Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. Ability to manage their time well and work effectively with the team to meet deadlines.

• Working knowledge of application and data security concepts.

• Fluency in at least two of Python, Java, or JavaScript is essential. Familiarity with GitHub, open source software, and the software release process.

PREFERRED QUALIFICATIONS

• Working knowledge of biology or bioinformatics.

• Basic knowledge of network and systems biology tools and techniques such as GO and pathway enrichment analysis or queries to find subsets of biological networks, and tools related to the Cytoscape application.

• Experience with python, javascript, java, and modern web-development frameworks such as REACT.

• Experience using data science tools such as Pandas, Numpy, or SciKit. Knowledge of statistics and the relevant mathematics.

SPECIAL CONDITIONS

• Employment is subject to a criminal background check.

Pay Transparency Act

Annual Full Pay Range: $79,200 - $143,400 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $37.93 - $68.68

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

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