Oregon Health & Science University is hiring a Computational Biologist to join the Knight Cardiovascular Institute. In this role, you will support translational and clinical research focused on cardiomyopathies and heart failure phenotypes. You will develop and apply computational methods to extract insights from complex, multi-modal datasets, implement reproducible workflows, and communicate findings to multidisciplinary teams.
What You'll Do
- Implement and maintain scalable, reproducible computational workflows for cardiomyopathy research using best practices like version control and containerization.
- Assist platform or study teams with workflow execution on institutional compute resources and/or cloud environments.
- Process, curate, and harmonize multi-modal datasets including omics, imaging metrics, phenotypic and clinical trial data.
- Apply sound statistical methods and modeling approaches to investigate genotype-phenotype associations, biomarker discovery, and outcome prediction under guidance.
- Generate clear data visualizations and interpretable summaries for investigators and study teams.
- Work with clinical research staff to ensure secure handling of PHI and compliant storage/sharing of datasets per IRB, HIPAA, and sponsor agreements.
- Develop and maintain analysis-ready datasets, metadata, and data dictionaries; assist with building/maintaining databases or trackers.
- Support documentation needed for audits, reproducibility, and data provenance such as analysis logs and QC reports.
- Meet with investigators, clinicians, and research staff to clarify analysis questions, define deliverables, and communicate results.
- Provide guidance to non-computational staff on study design considerations for data-generating experiments within scope and under supervision.
- Contribute to manuscripts, abstracts, posters, presentations, and grant applications with review by senior staff.
- Maintain current awareness of relevant computational biology methods and cardiomyopathy literature; participate in lab/section meetings and training opportunities.
What We're Looking For
- Master’s Degree in Computational Biology or related field OR Bachelor’s degree in computational biology or related field AND 3 years of experience.
- Experience conducting and assisting with computational analysis of high-dimensional biological data (e.g., NGS/omics).
- Proficiency in R and/or Python for data processing, analysis, and visualization.
- Familiarity with common bioinformatics file formats and QC approaches.
- Ability to implement workflows/pipelines using best practices (version control, documentation).
- Strong written and oral communication skills; ability to explain analyses to non-computational colleagues.
- Strong organizational skills, attention to detail, and ability to manage priorities under supervision.
- Ability to perform the job duties with or without accommodation.
Nice to Have
- Master’s Degree with cardiology/cardiovascular focus.
- Experience with cardiology/cardiomyopathy datasets, EHR/clinical trial data integration, and scalable workflow execution (HPC/cloud).
- Familiarity with cardiomyopathy biology and/or cardiac genetics.
- Experience with single-cell analysis frameworks, variant annotation, and multi-omics integration.
- Experience contributing to open-source software or shared analysis libraries.
- Experience with data governance, de-identification, and secure research computing.
Technical Stack
- Programming: R, Python
- Data: Next-generation sequencing (NGS), Omics data, Single-cell RNA-seq, WGS/WES, Proteomics
- Infrastructure: High-performance computing (HPC), Cloud environments
Team & Environment
You will work within the Cardiomyopathy Section of the Knight Cardiovascular Institute, collaborating closely with clinical research staff, investigators, clinicians, and study teams. This role works under supervision.
Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization.
