Research Data Analyst 2

Oregon Health & Science University•Portland, OR

21h•Onsite

About The Position

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.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

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.