Bioinformatics Programmer

The Department of Medicine is seeking a Programmer Analyst II for the Integrative Biostatistics and Bioinformatics Core within the UCLA Microbiome Center, situated in the Vatche and Tamar Manoukian Division of Digestive Diseases. In this role, the Programmer Analyst will actively engage in clinical and translational research, delving into the intricate connections between clinical phenotypes and biological elements. Through these efforts, novel insights into host-microbiome interactions in health and disease will be uncovered. The primary duties of the Programmer Analyst encompass the programming and refinement of automated data quality control, preprocessing, computational, and analysis pipelines, specifically tailored for extensive biological datasets. A key focus will be on optimizing these processes. Additionally, the Programmer Analyst will contribute to the ongoing enhancement, expansion, application, and documentation of data preprocessing and analytical workflows, ensuring their effectiveness in research endeavors.

Target hourly rate: $36.49-$76.05

• Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.
  
• 2-3 years of experience in computation science, data science, statistics, or related field, with computer, computational, and/or data management experience.
  
• Moderate knowledge of basic and multivariate statistics.
  
• Demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools.
  
• Demonstrated ability to regularly interface with management.
  
• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
  
• Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non- technical personnel at various levels in the organization.
  
• Proven ability to successfully work on multiple concurrent projects.
  
• Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.