Computational Biologist 2

Oregon Health & Science University • Portland, OR

20h

About The Position

We are seeking a Computational Biologist / Clinical Bioinformatician to join our multidisciplinary team. This role provides bioinformatics expertise in support of clinical test development and will work closely with medical directors, bioinformaticians, and wet-lab scientists to develop, validate, and maintain clinical workflows in accordance with CAP and regulatory standards. The successful candidate will bring strong experience in next-generation sequencing (NGS) data processing and analysis (tissue, blood, and cell-free specimens; OR: DNA, RNA, epigenomics), and bioinformatics tool development and biostatistics, with a commitment to teamwork, reproducibility, and clinical best practices.

Requirements

• Master's Degree in Computational Biology or related field AND 3 years of relevant experience OR Bachelor's Degree in Computational Biology or related field AND 6 years of relevant experience
• 1 year of clinical experience in NGS data analysis including variant calling, copy number analysis and structural variant interpretation
• 1 year of clinical Bioinformatics Tools & Pipelines: Alignment (BWA, STAR, HISAT2); Variant callers (Mutect2, VarScan, Strelka, FreeBayes); Annotation tools (ANNOVAR, VEP, Oncotator); Workflow management (Nextflow, Snakemake, WDL/Cromwell)
• Demonstrated ability to develop genomic analysis workflows.
• Demonstrated skills in a high-level programming language, preferably Python or R, Pearl, preferably in Linux or Unix, optionally with Java or C/C++
• Experience with artificial intelligence methods.
• Experience with SOP-driven workflows for reproducibility and accreditation compliance
• Experience with statistics and its applications to data analysis and interpretation
• Experience with structured data storage and with multi-component data processing systems
• Experience with architecture or tools for managing “omics” or imaging data
• Ability to prioritize multiple tasks at one time
• Excellent communication, analytical and organizational skills: both written and verbal
• Ability to work independently and as part of a team while being collaborative in resolving problems
• Intermediate skills with Microsoft Office (Excel, Outlook, Access, Word, and PowerPoint) on Window OS.
• Ability to accurately type 60wpm
• Working knowledge of Oracle
• Must have demonstrated excellent customer service skills both on the phone and in person
• Must possess energy and drive to coordinate multiple projects simultaneously
• Ability to use tact and diplomacy to maintain effective working relationships

Nice To Haves

• PhD in Computational Biology or related field
• Experience as a data analyst, data scientist, software developer or biostatistician, including at least 6 months in a collaborative teamwork environment.
• Clinical report generation
• Experience with AWS data workflows
• Familiarity with CLIA/CAP regulations for molecular diagnostics
• High-performance computing experience
• Experience developing, training, and implementing AI-based tools.

Responsibilities

• Support clinical test development through computational analysis of data and development of computational tools.
• Develop, validate, and maintain bioinformatics pipelines aligned with CAP/CLIA requirements.
• Implement and benchmark tools, algorithms, and workflows for variant calling, expression analysis, and proteomic profiling.
• Collaborate with medical directors, clinical bioinformatics teams, and wet bench scientists in a cross-disciplinary environment.
• Contribute to SOP-driven analysis workflows, ensuring reproducibility and regulatory compliance.
• Manage and maintain code, data, and version control repositories (e.g., GitHub).
• Provide bioinformatics support for clinical reporting and test development.
• Stay current with emerging literature, methods, and tools in computational biology and clinical bioinformatics.
• Participates in the supervision of trainees involved in computational projects

Benefits

• Medical, dental and vision coverage at no or low cost to employees
• Covered 100% for full-time employees and 88% for dependents
• Several retirement plans to choose from with contributions from OHSU
• 25 days a year of paid time off
• 8 days of sick time off
• Commuter subsidies
• Tuition reimbursement
• Access to group life insurance, disability insurance and other supplemental benefits
• Annual Merit Increase
• Growth/Development Opportunities
• Employee discounts to local and major businesses

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees