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Computational Biologist 2 or 3
US-OR-Portland
Job ID: 2024-30828 Type: Regular Full-Time # of Openings: 1 Category: Research Portland, OR (Waterfront)
Overview
Data Organization and Management Clean and manage metadataAccess, store, and document raw dataCoordinate with project team members Meet publication requirements, including data and code repositing 3 Data Analysis Sample/data quality control assessmentImplement existing analytic packages and workflowsAdapt existing resources and tools, as needed, to meet project needsDevelop novel analyses and visualizations 4 Technical Writing/Communication Present at regular team meetingsClear code documentationSupport manuscript preparationSupport grant writing efforts 5 Computation Infrastructure Support Develop novel software tools or analytical pipelinesCreate or adapt data models/schemas for data managementProvide technical support to other team members and participate in code reviewsAssist in cross -platform and -tool integration Responsibilities
Education: PhD in Computational Biology or related field OR Master's Degree in Computational Biology, Bioinformatics, or related field AND 6 years relevant experience OR Equivalent combination of Bachelor's in a relevant field in conjunction with training and experience may be considered.Candidates with fewer years' experience than listed above per academic degree may be considered for a Computational Biologist Level 2 position Experience: Significant experience with analysis of 'omic or imaging data (genomic, transcriptomic, proteomic, medical imaging etc.)Experience in implementing statistical methods as appropriate for dataset treatment (e.g. quality inspection, normalization, differential feature detection, etc.) Job Related Knowledge, Skills and Abilities (Competencies): High-level competency in an appropriate programming language (R or Python), preferably in Unix/Linux An understanding of statistical methods for data treatmentUsage of structured engineering methods for specifying, designing, and implementing systems and pipelines in high performance computing environmentsAbility to effectively manage multiple projectsExcellent written and verbal communication, analytical and organizational skills Compliance: Code of conductRespect in the workplaceApplicable policies, procedures and agreements related to position, department or OHSU as a whole Qualifications
Experience: Experience with machine learning Experience with high performance computing environmentsExperience developing pipelines to support analytics as described, to facilitate improved data management, and to generate complete workflows that are reproducible and scalable Job Related Knowledge, Skills and Abilities (Competencies): Experience with version control in codingExperience using containers or package/environment management tools, such as Conda or DockerExperience with systems or tools for managing 'omics or imaging data Experience with scientific and computation mentorship Equal employment opportunity, including veterans and individuals with disabilities.
