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.

Precision Nutrition Application Development

• 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.

Data, Database, and Cloud Infrastructure

• 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.

Computational Biology and Algorithm Integration

• 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.

Software Quality, Deployment, and Research Collaboration

• 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.

• Master's Degree in relevant field AND 2 years of relevant experience; OR

• Bachelor's Degree in relevant field AND 4 years of relevant experience.

Skills and Abilities

• 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.

• AWS or comparable cloud certification/experience preferred.

40 hours per week, may be sitting at a computer for extended periods of time.

 

Benefits 

• Healthcare for full-time employees covered 100% and 88% for dependents.
• $50K of term life insurance provided at no cost to the employee.
• Two separate above market pension plans to choose from.
• Paid time off - 208 hours per year, prorated for part-time.
• Extended illness bank - 64 hours per year, prorated for part-time.
• 9 paid holidays per year.
• Substantial Tri-Met and C-Tran discounts.
• Employee Assistance Program.
• Childcare service discounts.
• Tuition reimbursement.
• Employee discounts to local and major businesses.

We are Oregon's only public academic health center.

In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington.

All are welcome.

OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply.

To request reasonable accommodation, contact askhr@ohsu.edu