Quick Summary
Department Overview This position is a member of the Computational Biology Program at OHSU and will support development of research software and user-facing applications for precision nutrition.
This position is a member of the Computational Biology Program at OHSU and will support development of research software and user-facing applications for precision nutrition. The position will translate computational biology methods, biomedical data, and nutrition-related algorithms into accessible software tools integrating nutrition, metabolomic, genomic/transcriptomic, and phenotypic data. The employee will collaborate with investigators to refine application functions and will follow appropriate data-security and privacy practices for biomedical or health-related data.
- Design, develop, test, and maintain user-facing precision-nutrition research applications.
- Implement native and/or web interfaces, connect application components to computational services and APIs, and translate research prototypes into reliable software for investigators and collaborators.
- Build and maintain structured systems for nutrition, omic, phenotypic, and application data.
- Develop database schemas and data-access workflows; support local/cloud deployment; and implement appropriate authentication, data integrity, backup, security, and scalable-computing practices.
- Develop and integrate Python/R analytical pipelines for biomedical and nutrition-related data.
- Support genomic, transcriptomic, single-cell, metabolomic, and other high-dimensional data analyses; implement statistical or machine-learning methods; and convert research algorithms into reusable application modules or services.
- Use structured software-engineering practices including Git/GitHub, documentation, issue tracking, testing, code review, and reproducible workflows.
- Troubleshoot applications and pipelines, support cross-platform deployment and user testing, and work with researchers to refine functionality and support scholarly outputs.
- Other duties as assigned.
Requirements
~1 min readMaster's Degree in relevant field AND 2 years of relevant experience; OR
Bachelor's Degree in relevant field AND 4 years of relevant experience.
- AWS or comparable cloud certification/experience preferred.
Computational biology/bioinformatics, scientific software development, or data-driven biomedical applications.
Proven ability to develop user-facing scientific or health-data software in collaborative or interdisciplinary research settings.
Programming for data analysis or scientific software development using Python and/or R, preferably in Linux/Unix.
Structured data storage, relational databases, or multi-component data-processing systems.
Biomedical, bioinformatics, genomic/transcriptomic, machine-learning, or related quantitative data analysis.
Basic statistics, reproducible coding practices, and version-control workflows.
Strong troubleshooting, task prioritization, communication, organization, and ability to work independently and collaboratively.
Native or web application development using Swift/SwiftUI/Cocoa, R Shiny, Django, Unity, or comparable frameworks.
SQL databases such as PostgreSQL/SQLite; API integration/authentication; and cloud platforms such as AWS.
Next-generation sequencing, single-cell RNA-seq, transcriptomics/omics pipelines, and/or machine-learning methods such as matrix factorization or network analysis.
Git/GitHub, testing, issue tracking, cross-platform QA, and application deployment.
Health-data privacy/security or HIPAA-aware data-management practices.
Precision nutrition, precision health, digital health, or translational biomedical research.
- Immune cell deconvolution of mouse data.
40 hours per week, may be sitting at a computer for extended periods of time.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- October 6, 2024
- First seen
- October 6, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- October 6, 2026
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