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    Postdoctoral Research Associate

    • 533270
    • Blacksburg, Virginia, United States
    • Biological Systems Engineering
    • Agriculture / Life Science
    • Research Faculty
    • Virginia Tech

    Job Description

    Project Title: Engineering Optogenetic Control of Feedstock Utilization in Yarrowia lipolytica

    We are seeking a highly motivated and skilled individual to join a collaboration between the Senger and Wright research groups as a Postdoctoral Research Associate. The successful candidate will play a central role in a multidisciplinary project aimed at engineering programmable CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research at the intersection of synthetic biology, metabolic engineering, and systems biology with applications in sustainable biomanufacturing.

    The successful candidate will contribute to the development of a strain-engineering platform that enables wavelength-specific optical regulation of feedstock catabolism and fatty acid biosynthesis. This includes building and refining a genome-scale metabolic model of Y.

    lipolytica, developing optogenetic and CRISPR-based logic circuits, and using Raman spectroscopy to monitor cellular responses and validate model predictions. The work will directly inform the design of multiplexed strains capable of efficiently converting diverse feedstocks into valuable bioproducts.

    Required Qualifications

    Ph.D. in Synthetic Biology, Metabolic Engineering, Systems Biology, Chemical Engineering, Biological Engineering, or a related field. Ph.D. must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
    Strong background in molecular biology and genetic engineering of eukaryotic microbes.
    Experience with synthetic biology tools such as modular cloning, CRISPR/Cas systems, and transcriptional regulation.
    Demonstrated ability to work independently and as part of a team.
    Excellent written and oral communication skills.

    Preferred Qualifications

    Experience with Yarrowia lipolytica or other non-model yeasts.
    Expertise in optogenetics, light-controlled gene expression systems, and photoreceptors.
    Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis.
    Experience with Raman spectroscopy, flow cytometry, or single-cell analysis tools.
    Competence in bioinformatics tools for model refinement or omics integration.

    Overtime Status

    Exempt: Not eligible for overtime

    Appointment Type

    Restricted

    Salary Information

    53,550-65,029

    Hours per week

    40

    Review Date

    06/22/2025

    Additional Information

     

    The successful candidate will be required to have a criminal conviction check.

     

    About Virginia Tech

    Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

    Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

    Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

    If you are an individual with a disability and desire an accommodation, please contact Robert "Clay" Wright at wrightrc@vt.edu during regular business hours at least 10 business days prior to the event.

     

    Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer

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    Agriculture / Life Science
    Research Faculty
    Blacksburg, Virginia, United States
    Virginia Tech

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