Computational Biologist, Entry
Computational Biologist, Entry
Oregon Health & Science University
Portland, OR
See who Oregon Health & Science University has hired for this role
Department Overview
- Data Management:
- Wrangle, clean, structure and store investigator data. Assist in building, populating and/or maintaining a searchable, browsable system storing raw omic and imaging data, sample metadata, data generation and data processing provenance, and custom analysis results.
- Pipelines:
- Assist platform development teams implementing scalable high-performance workflows to support the research community with analytical advances and to disseminate best practices to the computational community. Assist with documentation and user support that enable computational researchers across campus to access and re-use analysis pipelines.
- Tools:
- Assist with software development, using structured software engineering best practices. Collaborate with team members in building, publishing and re-using high-performance open-source code.
- Custom Analysis:
- Employ best practices for omic, imaging and integrative data representation and analysis. Provide processed data and technical support to biostatisticians and computational scientists, helping to identify technical factors in data generation and processing and supporting development of biological conclusions that drive the next generation of research and advance human health.
- Collaboration:
- Work with team members to build and maintain common code repository, bioinformatic best practices and team engagement. Work with investigators to understand and clarify requests, document requirements, communicate ongoing work, assist with interpretation of results and build community. Work with other cores to collaborate on support of investigator projects and to build and maintain shared workflows and seamless services.
- Bachelor’s degree with major courses in field of research. Additional experience in lieu of degree may be considered.
- Demonstrated ability in research related to genomic analysis, machine learning, or image analysis, which may include experience with next-gen sequencing or medical imaging.
- Demonstrated skills in a high level programming language, preferably Python or R, preferably in Linux or Unix, optionally with Java, C/C++ or GO.
- Understanding of basic statistics and some of its applications to biomedical science.
- 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.
- Masters with major courses in field of research.
- At least 6 months of work experience in a professional, team-oriented computational biology environment.
- High performance computing experience.
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Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Research, Analyst, and Information Technology -
Industries
Hospitals and Health Care
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