Computational Scientist
Triune Infomatics Inc. is a privately held IT staffing and consulting company providing IT consulting, staffing, disability staffing, executive search, and AI-related consulting and talent services.
About Triune Infomatics Inc.
Founded in 2005, Triune Infomatics Inc. is a Pleasanton, California-based technology staffing and consulting company. Its current website offers client contact and job-application interactions, including active contract openings; its stated core business is staffing and consulting rather than a dedicated robotics product or service.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze large genetic, genomic, and clinical datasets; develop approaches to integrate and interpret multimodal data; implement machine-learning algorithms for imaging and omics associations; prepare incoming datasets; document code and findings; and present results to collaborators.
Requirements
- Extensive experience in large-scale genetic or genomic data analysis
- Understanding of genetic epidemiology
- Experience with association analysis using array- and sequence-based human genetic data
- Experience analyzing molecular assay data, including RNA-Seq, single-cell sequencing data, or proteomic data
- Experience integrating genetic and molecular data for multimodal analyses
- PhD or a master's degree with significant experience in a related field
- Fluency in R, Python, and shell scripting
- Experience with Git and high-performance computing using SLURM
- Ability to produce high-quality analysis results with minimal supervision
- Communication skills and experience working as part of a team
Responsibilities
- Analyze large datasets of genetic, genomic, and clinical data
- Develop analytical approaches to integrate and interpret data
- Implement machine-learning algorithms for associations between imaging and omics data
- Coordinate the intake and preparation of new datasets
- Document processes, findings, and code
- Present findings to collaborators and contribute to publications