Caltech is seeking to assist graduate students, postdocs, and research staff with the bioinformatics and computational components of their ongoing projects, aiming to advance fundamental scientific questions through innovative tools and bright minds.
Requirements
- Experience with programming languages for scripting and data analysis: Python, R, and Bash required.
- Experience (including coursework or internships) in data analysis using at least one scripting or programming language (e.g., Python, MATLAB, R).
- Experience working with next generation sequencing data and/or big data (e.g. genomics, RNA-seq, single-cell RNA-seq, epigenomics, proteomics, metabolomics, etc.).
- Experience working in Linux/Unix environments.
- Ability to rapidly learn technical skills, particularly in computational methods and bioinformatic workflows.
- Ability to write clean, well-documented, and reproducible code for data processing and analysis.
- Experience with containerization (Docker, Conda, Singularity).
Responsibilities
- Assist graduate students, postdocs, and research staff with bioinformatics/computational components of all ongoing projects.
- Learn and apply state-of-the-art statistical and computational methods for analyzing datasets from shotgun metagenomics, amplicon sequencing, and RNA-sequencing experiments.
- Assist in the design, implementation, and benchmarking of in-silico experiments.
- Generate computational results and publication-quality figures for clear communication of results to lab members and external collaborators.
- Work with lab members and external collaborators to help them develop, execute, and maintain state-of-the-art data processing pipelines on Caltech high-performance computing (HPC) clusters.
- Develop and maintain scripts for routine analysis tasks such as qPCR quantification.
- Maintain organized and version-controlled repositories and containerized computational environments (Docker/Conda), using Python and/or R.
Other
- Bachelor’s degree in science with educational emphasis in computational sciences, bioinformatics, biology, microbiology, computer science, bioinformatics, computational biology, data science, or a related field required at time of application.
- Familiarity with basic molecular biology topics.
- Strong drive to learn and to make positive impacts on the lab and lab’s mission.
- Ability and desire to collaborate and support collaborative projects.
- Highly detail-oriented; must have examples of well-documented code (e.g., Git repositories) involving complex technical tasks or data analyses available upon request.
