Job Description: Oregon Health & Science University
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 that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.
Computational Biologist 1-2
US-OR-Portland
Job ID: 2024-32130 Type: Regular Full-Time # of Openings: 1 Category: Research Portland, OR (Waterfront)
Overview
Key Responsibilities:
Process, analyze, and interpret large-scale DNA methylation datasets, including bulk and single-cell sequencing data.
Apply existing bioinformatics tools and methods for DNA methylation analysis while also developing novel approaches as necessary to address specific research questions.
Generate disease-specific epigenetic "clocks" through longitudinal data analysis to enhance our understanding of cancer progression and early detection.
Collaborate with a multidisciplinary team to integrate DNA methylation data with other omics data, contributing to a holistic understanding of cancer biology.
Stay current with advances in computational biology, DNA methylation research, and multi-omics analysis, continuously adapting and applying new techniques to ongoing research.
Responsibilities
Education & experience:
Compuatational Biologist 1
Master's Degree in Computational Biology or related field OR
Bachelor's Degree in Computational Biology or related field AND 3 years of relevant experience
Compuatational Biologist 2
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
Knowledge, skills, and abilities:
Proficiency in programming languages such as Python, R, or Java.
Ability to work independently and as part of a team while being collaborative in resolving problems
Excellent analytical and organizational skills
Effective communication skills, both written and verbal.
Ability to work collaboratively in a team environment.
Basic understanding of molecular biology, genetics, or related life sciences disciplines.
Strong analytical skills, with the ability to process and analyze biological data.
Familiarity with bioinformatics tools and databases.
Qualifications
Education & experience:
2 or more years in a research position, including at least 1 year of supervisory and project management experience
Knowledge, skills, and abilities:
Expertise in cancer biology
Experience with machine learning and statistical data analysis.
Familiarity with next-generation sequencing data analysis.
Prior exposure to project management and cross-disciplinary collaboration.
Demonstrated ability to learn new computational methods and tools rapidly.
Interest in contributing to the development and optimization of bioinformatics pipelines.
