UCSD Layoff from Career Appointment: Apply by 04/28/2021 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 05/10/2021. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The Department of Medicine is the largest department within the UCSD School of Medicine and is responsible for fulfilling its teaching, research, and clinical missions. Department employees approximately 500 salaried faculty, nearly 200 academic appointees, and more than 300 residents, fellows, and postdocs, supported by almost 1,000 staff members. The Business Services Office interfaces with and supports financial, operational, and programs throughout the department and works in conjunction with the School of Medicine, General Campus, Clinical Practice Organization, and Health System.
The Chang lab's research examines molecular mechanisms underlying T cell differentiation in the context of infectious diseases and human autoimmune disease using cellular and molecular approaches, including flow cytometry and single-cell RNA-sequencing of cells from mouse models and human patients.
The bioinformatics programmer will: Under direct supervision, utilizes basic software tools to analyze or interpret biological or research data of limited scope and complexity. This includes computational pipelines to process biological high-throughput sequencing data, including but not limited to RNAseq, ATACseq, ChIPseq, GRIDseq, and single-cell RNAseq. The incumbent will utilize basic algorithms, techniques, and statistical methodologies to conduct data analysis. Additionally, this position will use established statistical methodologies to conduct data analysis. This position is also responsible for debugging and utilizing basic computer programs as well as documentation.
Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained.
Bachelor's degree in biological science, computational programming, mathematics, statistics, computer science or related area OR four (4) years of related experience, education/training.
Demonstrated knowledge of applications programming and web development.
Knowledge of databases. Experience with the design, development, and maintenance of data collections used for data storage and analysis in a biomedical research environment. Ability to organize large volumes of data using creative tools, logs and databases created to use with multiple research projects.
Basic project management skills. Excellent organizational skills. Ability to manage a large volume of work efficiently and meet deadlines with frequent interruptions and changing priorities.
Proven ability to develop, organize, and track projects and coordinate complex activities requiring a high level of accuracy and meticulous attention to detail. Strong decision making skills and ability to use independent judgment and discretion to quickly set priorities and establish new procedures when needed.
Strong ability to research, analyze, recommend, communicate, and implement solutions. Must be able to function successfully with minimal direction.
Ability to communicate technical information in a clear and concise manner. Strong interpersonal and communication skills, including tact, diplomacy, and flexibility. Ability to work successfully with a diverse group of people with varying perspectives and needs. Ability to communicate clearly and concisely, both verbally and in writing.
Self-motivated, able to learn quickly, meet deadlines and demonstrate problem-solving skills. Ability to troubleshoot and problem solve in computational work.
Basic knowledge of application and data security concepts.
Demonstrated ability to interpret/coordinate research protocols and the corresponding data requirements.
Proven experience with scripting language such as Python and R and familiarity with Jupyter notebook.
Proficient ability to work with multiple computer programs such as Excel, Word, Outlook, PowerPoint and Access, as well as the ability to create and maintain databases.
Basic knowledge of working in a Unix environment.
Prior experience analyzing eCLIPseq, RNAseq, ATACseq, ChIPseq, GRIDseq, and single-cell RNAseq datasets using DESeq2, rMATS, CLiPPer, MACS2, HOMER,
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