• [Photo] Calin Plesa July 23, 2021
    BACKGROUND:
    • High proficiency with Python and R scientific programming languages
    • Familiarity with command-line Linux
    • Strong understanding of modern scientific computing and data science tools, including high-performance computing environments
    • Expertise in the analysis of next-gen sequencing data
    • Strong grasp of relevant biology, molecular biology, and statistics concepts
    • Excellent organizational, written, and verbal communication skills
    • Ability to work both independently, in a small group setting, and one-on-one with students, other staff, and collaborators in a positive and productive manner
    RESPONSIBILITIES:
    The Plesa research lab is seeking a research assistant/associate specializing in bioinformatics or computational biology to join the lab. This position will include:
    • Analysis of NGS data from multiplex functional assays (developing, testing, and optimizing analytical pipelines)
    • Analysis of large-scale datasets of protein function
    • Improvement of design software for gene synthesis and oligo design
    • Algorithm development for large-scale protein engineering
    • Developing software for sequence optimization and new molecular biology methods
    • Developing regression and classification models for high-dimensional data
    This position will work closely with other lab researchers (students, postdocs, and technicians) and with Dr. Plesa. The position will be given a level of independence depending on the level of candidate experience.

    REQUIREMENTS:
    Research Assistant:
    • Bachelor's degree in Computer Science, Bioinformatics, Statistics, Mathematics, Bioengineering, Biochemistry, Biology, Biophysics, Physics, Chemistry, Chemical Engineering, or related disciplines
    • Five years' experience in computational biology / bioinformatics / software development
    Research Associate:
    • Terminal degree in Computer Science, Bioinformatics, Statistics, Mathematics, Bioengineering, Biochemistry, Biology, Biophysics, Physics, Chemistry, Chemical Engineering, or related disciplines
    PREFERENCES:
    • Experience in algorithm development, data mining, and statistical analysis of large datasets
    • Familiarity of sequence-based analysis of proteins (phylogenetic tree generation, multiple sequence alignment, BLAST, pfam, etc.)
    • Python software development
    TERMS:
    Full-Time

    LOCALE:
    Eugene, Oregon

    COMPENSATION:
    $40,000-$85,000

    The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans and paid time off. For more information about benefits, visit http://hr.uoregon.edu/careers/about-benefits.

    HOW TO APPLY:
    Please apply at https://careers.uoregon.edu: https://careers.uoregon.edu/en-us/job/527812/bioinformatician-research-assistantassociate-plesa-lab

    DEADLINE:
    August 5, 2021

    POLICY:
    The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply, and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please contact us at uocareers[at]uoregon.edu or 541-346-5112.

    UO prohibits discrimination on the basis of race, color, sex, national or ethnic origin, age, religion, marital status, disability, veteran status, sexual orientation, gender identity, and gender expression in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Title IX Coordinator, Office of Civil Rights Compliance, or to the Office for Civil Rights. Contact information, related policies, and complaint procedures are listed on the statement of non-discrimination.

    In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online at http://police.uoregon.edu/annual-report.

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