Iowa City, Iowa
Seattle, Washington, Washington
Lake City, Florida, Florida
Jacksonville, Florida, Florida
Stamford, Connecticut
Roseburg, Oregon
Columbia, South Carolina, South Carolina
Posted: 25-Nov-24
Location: Los Angeles, California
Categories:
Internal Number: 144688378
Serves as a technical leader in applying computational theory to practice, with an in-depth understanding of diverse IT-related research application areas. The Bioinformatics Programmer manages assigned programs by utilizing principles of computational research, computer science, data science, and CI software development, along with relevant scientific knowledge and professional programming concepts for research projects. They have extensive experience analyzing neurological, physiological, and behavioral data. The Bioinformatics Programmer develops and optimizes a variety of computational, data science, and CI research tools and components. You will build and deploy custom AI models for supervised and unsupervised extraction of behavioral, neurological, and physical health patterns, including models not covered by standard platforms or repositories. You will perform highly complex analyses and tests of software and hardware, applying advanced programming principles and conduct research on current and future HPC, CI technologies, and edge computing, both hardware and data. The Bioinformatics Programmer engages in algorithm development, optimization, programming, and computer science research. You will collaborate with cross-functional teams and managers, and train data science teams to integrate and optimize research technologies ensuring compliance with relevant regulations and ethical standards.
Salary Range: $112900 - $256900/Annually
All Required:
- Bachelor’s degree in computer / computational / data science, or domain sciences with computer / computational / data specialization or equivalent experience.
- 5-7 years of experience in computation science, data science, statistics, or related field, with computer, computational, and/or data management experience.
- Advanced knowledge of computational / data science / CI.
- Highly advanced computational skills demonstrated experience with computational hardware and software, performance analysis, research design, modification, and implementation and deployment of computational or data science or CI applications and tools of large- scale scope.
- Demonstrated ability to regularly, effectively communicate with unit-level management.
- Demonstrated ability to initiate research proposals and acquire funding as co-leader.
- Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
