Research fellow jobs in Roanoke, VA

Transportation Packaging and Distribution Systems Research The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression testing, and thermal performance evaluation. Through collaborative partnerships with industry and government agencies, we conduct cutting-edge research in transport packaging performance, unit load design, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable packaging solutions. The individual will be responsible for: * Design and conduct experimental research on transport packaging performance, including vibration, shock, and compression testing of packaging systems. * Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. * Investigate logistics optimization strategies for packaging and distribution systems, including unit load design and supply chain efficiency. * Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and presentations. * Conduct comprehensive literature review and analysis of existing vibration data conversion methodologies, assessing their applicability to wooden packaging systems. * Develop practical design guidelines, simplified analytical models, and best practices documentation for industry implementation of vibration testing and design optimization. * Prepare research findings for publication in peer-reviewed journals and present results at national and international conferences. * Collaborate with industry partners on applied research projects and technology transfer initiatives, including workshop delivery and distribution of design tools. * Mentor graduate students on research projects and laboratory procedures. * Participate in the development of grant proposals for external funding from NSF, USDA NIFA, and other federal agencies. * Limited teaching or outreach responsibilities may be assigned depending on interest and departmental needs. * Given the nature of this work, this position is not eligible for telework. Required Qualifications * Ph.D. in Packaging Science, Wood Science, Mechanical Engineering, Industrial and Systems Engineering, Wood Science, or related field. PhD 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 computational mechanics, structural dynamics, or wood mechanics. * Experience with finite element analysis and modal analysis techniques. * Experience with vibration analysis, dynamic testing, or mechanical systems characterization. * Proven record of publishing refereed journal articles and presenting at professional conferences. * Strong understanding of experimental design, data collection, and statistical analysis. * Ability to work both independently and collaboratively in an interdisciplinary research environment. * Excellent technical writing, communication, and interpersonal skills. * Ability to lift or carry 50 lbs, obtain and maintain a valid Virginia Driver's license. * Position requires considerable walking, standing, stooping, and bending, and requires the use of personal protective equipment. Preferred Qualifications * Experience applying machine learning models to structural systems, predictive modeling, or optimization problems related to packaging or mechanical systems. * Background in logistics optimization, supply chain modeling, or distribution network analysis. * Familiarity with vibration data analysis techniques. * Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. * Programming skills in Python, MATLAB, R, or similar computational platforms. * Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. * Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and test protocol development. * Experience with wood material properties, orthotropic material modeling, or joint behavior under cyclic loading. Pay Band {lPayScaleID} Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Hours per week 40 Review Date December 8, 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Trish Colley at ************** during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 534646 Work type: Research Faculty Senior management: College of Engineering Department: Electrical and ComputerEngineering Job Description Applications are invited for a Research Associate position with the Systems Software Research Group (**************************** at Virginia Tech. The position involves conducting research and developing trustworthy tools for reasoning about safety and security properties of a broad range of application programs. Opportunities exist to investigate and develop tools for highly scalable program analysis for detecting violations of safety and security properties, techniques for verified operating system kernel extensions, logic frameworks for automatic reasoning of security vulnerabilities, verified decompilation, and automatic patching with provable security properties. Required Qualifications * MS in computer science or computer engineering with background. * Expertise in any of the following areas: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. * Strong expertise with formal methods tools (e.g., theorem provers, SMT solvers, model checkers). * Strong programming expertise, with a preference for functional programming (e.g., Haskell). * Excellent communication skills. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Hours per week 40 Review Date 11/7/2025 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Cole Tankersley at ************ during regular business hours at least 10 business days prior to the event. Advertised: October 31, 2025 Applications close:

The Agrawal Lab in the School of Neuroscience at Virginia Tech is seeking a Research Scientist to join our team. The Agrawal lab studies neural circuits underlying flexible motor control by utilizing the compact genetic model organism, Drosophila melanogaster. We use a variety of cutting-edge techniques, including quantitative behavior with machine vision-based tracking, optogenetics, in vivo electrophysiology and 2-photon imaging, and EM-based circuit reconstruction. Specifically, we are interested in how animals use proprioceptive sensory information to navigate and move through an often unpredictable world. Proprioception is an animal's sense of the position and movement of its body, and it is essential for coordinated movement across the animal kingdom. Projects in the lab include understanding how proprioceptive information is relayed to the brain to integrate with motor planning, examining how neural circuits integrate wing and leg proprioceptive information in the insect CNS, and exploring how vibration sensing via the legs mediates courtship and other behaviors. See the lab website (********************************* for more details and other potential projects. This position is for two years with possibilities for extension. The research scientist will be responsible for directing, planning, and executing projects in collaboration with Dr. Agrawal. They will have the opportunity to publish first-author papers, contribute to related projects as co-authors, and present their work at national and international conferences and institutions. As a new lab, the position will have the opportunity for lots of interaction and mentorship from Dr. Agrawal as well as opportunities to mentor other junior scientists. Dr. Agrawal is committed to providing all members of the lab with scientific training and mentorship to help them pursue their career goals. Applicant must have a PhD in a relevant field (e.g., biology, neuroscience, computational neuroscience, controls, engineering) and a curiosity and enthusiasm for science. Basic programming skills in Matlab or Python are highly desirable. Interested applicants should apply online at **************** Please include a current Curriculum Vitae, Statement of Research Interests, and the contact information of three (3) references. Required Qualifications • Ph.D. in a relevant field (e.g., biology, neuroscience, computational neuroscience, controls, engineering) • Curiosity and enthusiasm for science • Strong organizational skills and ability to prioritize responsibilities • Strong interpersonal communication skills and the ability to work effectively in a team environment and independently • Willingness to learn new skills Preferred Qualifications • Basic programming skills in Matlab or Python • Laboratory experience in Drosophila genetics • Able to commit at least two years duration to the position Appointment Type Restricted Salary Information 62,000 - 70,000 Review Date 11/15/2023 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 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, 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 Sweta Agrawal at ************ during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 534892 Work type: Research Faculty Senior management: Natural Resources Department: Sustainable Biomaterials Job Description Transportation Packaging and Distribution Systems Research The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression testing, and thermal performance evaluation. Through collaborative partnerships with industry and government agencies, we conduct cutting-edge research in transport packaging performance, unit load design, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable packaging solutions. The individual will be responsible for: * Design and conduct experimental research on transport packaging performance, including vibration, shock, and compression testing of packaging systems. * Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. * Investigate logistics optimization strategies for packaging and distribution systems, including unit load design and supply chain efficiency. * Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and presentations. * Conduct comprehensive literature review and analysis of existing vibration data conversion methodologies, assessing their applicability to wooden packaging systems. * Develop practical design guidelines, simplified analytical models, and best practices documentation for industry implementation of vibration testing and design optimization. * Prepare research findings for publication in peer-reviewed journals and present results at national and international conferences. * Collaborate with industry partners on applied research projects and technology transfer initiatives, including workshop delivery and distribution of design tools. * Mentor graduate students on research projects and laboratory procedures. * Participate in the development of grant proposals for external funding from NSF, USDA NIFA, and other federal agencies. * Limited teaching or outreach responsibilities may be assigned depending on interest and departmental needs. * Given the nature of this work, this position is not eligible for telework. Required Qualifications * Ph.D. in Packaging Science, Wood Science, Mechanical Engineering, Industrial and Systems Engineering, Wood Science, or related field. PhD 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 computational mechanics, structural dynamics, or wood mechanics. * Experience with finite element analysis and modal analysis techniques. * Experience with vibration analysis, dynamic testing, or mechanical systems characterization. * Proven record of publishing refereed journal articles and presenting at professional conferences. * Strong understanding of experimental design, data collection, and statistical analysis. * Ability to work both independently and collaboratively in an interdisciplinary research environment. * Excellent technical writing, communication, and interpersonal skills. * Ability to lift or carry 50 lbs, obtain and maintain a valid Virginia Driver's license. * Position requires considerable walking, standing, stooping, and bending, and requires the use of personal protective equipment. Preferred Qualifications * Experience applying machine learning models to structural systems, predictive modeling, or optimization problems related to packaging or mechanical systems. * Background in logistics optimization, supply chain modeling, or distribution network analysis. * Familiarity with vibration data analysis techniques. * Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. * Programming skills in Python, MATLAB, R, or similar computational platforms. * Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. * Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and test protocol development. * Experience with wood material properties, orthotropic material modeling, or joint behavior under cyclic loading. Pay Band {lPayScaleID} Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Hours per week 40 Review Date December 8, 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Trish Colley at ************** during regular business hours at least 10 business days prior to the event. Advertised: November 21, 2025 Applications close:

A research scientist is sought to launch Disease Mechanics Initiative in the Department of Mechanical Engineering at Virginia Tech. This position provides an excellent opportunity to work in a world-class interdisciplinary environment as part of a team of experimental and computational scientists from engineering and biology, and in close collaboration with clinicians. The position entails interacting with faculty across multiple departments, managing collaborative interdisciplinary research projects, facilitating large-scale research proposal development, and actively liaising with funding agencies. An attractive compensation package commensurate with experience will include competitive benefits and a retirement package offered by Virginia Tech. The position is available starting as soon as possible and is eligible for annual renewal contingent upon satisfactory progress and continued funding. Required Qualifications • Completed Ph.D. in biology, engineering, biophysics, or a closely related discipline. • Proven track record of outstanding research that is reflected in publications and secured funding (e.g., postdoctoral fellowship or other early-career grants) • Experience in working in Biosafety Level-2 (BSL-2) laboratory environment, proficiency in standard cell- and molecular-biological techniques, and advanced optical microscopy. • Strong communication skills, enthusiasm to lead independent and manage collaborative interdisciplinary research, develop grant proposals, and the ability and willingness to mentor graduate and undergraduate students. Preferred Qualifications • Additional experience in bacteriology. Appointment Type Restricted Review Date October 10, 2024 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 Amanda Collins at *************** during regular business hours at least 10 business days prior to the event.

The Virginia Tech Center for Ecosystem Forecasting is recruiting a Research Scientist with a Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental Engineering, or a related field. We are seeking to recruit an integral, long-term member of our team who will contribute to environmental modeling and forecasting research across multiple funded projects. Following the mission of the Virginia Tech Center for Ecosystem Forecasting, we seek a team member who is excited to both create and apply innovative environmental models and forecasts that provide actionable forecast insights to guide decision-making and management. We encourage applicants to visit our website (*********************************** to learn more about the Center, its mission and values, current projects, and our highly collaborative, interdisciplinary research team. Specific responsibilities for the on-site position include: 1) developing ecological forecasts (especially for lake and reservoir water quality) using a suite of models and datasets; 2) leading and co-authoring peer-reviewed publications, presentations, and data products; 3) providing guidance and mentorship to team members and supporting ongoing Center programs (including the Macrosystems EDDIE educational program); and 4) serving in a leadership role in the Center, which includes setting priorities, engaging partners, preparing reports, and collaborating with CEF co-directors and staff to apply for external funding. The review of applications will begin on Monday, 22 December, with anticipated Zoom interviews being scheduled in early January. Funding for this position is available for multiple years, pending satisfactory performance during an initial probationary period and subsequent annual performance reviews. We are unable to sponsor or take over sponsorship of an employment visa for this position at this time. Required Qualifications * Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental/Civil Engineering, or a related field * Significant experience in publishing peer-reviewed journal articles, demonstrated by publication record * Significant quantitative research experience in ecosystem modeling, environmental forecasting, and/or computational ecology, demonstrated by publications and/or software development * Significant experience working in the R and/or Python programming language, demonstrated by GitHub (or other code repository) portfolio * Significant experience in environmental data analysis, demonstrated by publications and presentations * Experience with collaborative coding, demonstrated by GitHub (or other code repository) activity * Ability to work in interdisciplinary collaborative teams, demonstrated by previous team research experiences Preferred Qualifications * Postdoctoral research experience * Experience with water quality models, demonstrated by developing, calibrating, and applying water quality models, especially for lakes and reservoirs * Experience publishing data and code products, demonstrated by authorship of published data and code * Experience in data and forecast visualization, demonstrated by development and dissemination of data and forecast visualizations * Experience in mentoring and/or supervising * Experience working across computational platforms (e.g., command line, Docker, cloud computing and storage, RStudio, etc.) Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 hours - exempt position Review Date December 22, 2025 Additional Information The review of applications will begin on Monday, 22 December, with anticipated Zoom interviews being scheduled in early January. Funding for this position is available for multiple years, pending satisfactory performance during an initial probationary period and subsequent annual performance reviews. We are unable to sponsor or take over sponsorship of an employment visa for this position at this time. 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Dreama Price at ************* during regular business hours at least 10 business days prior to the event.

Clinical Research Technicians (CRT) provide technical and administrative support to faculty and students engaged in clinical research and scholarly activities. Responsibilities may include (but are not limited to) assisting with administrative tasks, ensuring compliance with research protocols, facilitating communication with relevant stakeholders and study subjects, training and supervising students and new research personnel in clinical research theory and methodology, facilitating successful recruitment of study participants, and supports the retrieval and maintenance of de-identified patient data. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Communicates with Principal Investigator and study team members. Assists with administrative activities associated with the conduct of research studies that include (but are not limited to) the following: Assist with the development and submission of research protocol proposals to the Liberty University Institutional Review Board. Recruit, screen, and enroll study participants based on established inclusion criteria. Recruitment may include obtaining informed consent and contact information from study participants. Collection and maintenance of subject data as defined in the research protocols. Assists in the development and maintenance of research databases. Performs literature review as needed and assists in preparation of presentations. Provides direct technical support to designated LUCOM and/or CHP faculty as deemed appropriate by LUCOM Research Leadership. Other duties as assigned by the Dean or his/her designee. Strictly adheres to Liberty University policies, representing the University in an exemplary manner. Works effectively as a team member, embracing and fostering LU's Christian model and Mission - Training Champions for Christ. SUPERVISORY RESPONSIBILITIES None. QUALIFICATIONS AND CREDENTIALS Education and Experience Bachelor's degree, preferably in the biological sciences. Advanced knowledge of Microsoft Office and data analysis programs. Possesses institutional knowledge of Liberty University and related policies and procedures. Preferred Qualifications Master's degree in biological sciences. 2+ years of experience leading research activities in academic or industry setting. Experience in managing multiple projects simultaneously of a routine and complex nature. Experience in training students in research methodology Knowledge and Skills Strong ability to work with and learn a variety of computer systems. Demonstrated ability to supervise others. Ability to maintain confidentiality. Demonstrate time management skills and organizational skills. Ability to delegate. Ability to problem-solve. Psychology - Knowledge of human behavior and performance; individual differences in ability, personality, and interests; learning and motivation. ABILITIES AND COMPETENCIES ESSENTIAL TO THE FUNCTION OF THE JOB Communication and Comprehension Ability to effectively communicate both verbally and in writing to convey clear, well articulated information. Ability to understand, speak, and write English in order to convey messages and correspond in an articulate and professional manner. Possess public communication skills that allow professional representation of Liberty University. Strong organizational skills. Computer skills. Problem Solving Intuitively able to reason, analyze information and events, and apply judgment in order to solve problems of both a routine and complex nature. Physical and Sensory Abilities May be required to travel. May be required to sit to perform deskwork or type on a keyboard. Regularly required to hear and speak in order to effectively communicate orally. Regularly required to stand, walk, and climb stairs to move about the campus. Handle materials, reach overhead, kneel or stoop in order to conduct business. Regularly lift 10 or fewer pounds. WORKING CONDITIONS Work Environment The working environment in which one will typically perform the essential functions of this position is a climate-controlled setting. It is well lighted, and the noise level is moderate. Working environment may include facilitation of events outdoors occasionally. Driving Requirements If the employee is required to travel in performing the duties and responsibilities of the position, the use of one's personal vehicle (or LU vehicles) may be required for travel. Proof of a valid driver's license, an acceptable DMV record, LU Driving Approval, and liability insurance is required when driving in the performance of the employee's position. Target Hire Date 2025-10-17 Time Type Full time Location Lynchburg - In Office The University is an Equal Opportunity Employer. We believe it is our moral and legal obligation to meet the responsibility of ensuring that all management practices regarding employees are conducted in a nondiscriminatory manner. In compliance with Title VII of the 1964 Civil Rights Act, and other applicable federal and state statutes, all recruiting, hiring, training, and promoting for all job classifications will be administered without regard to race, color, ancestry, age, sex, national origin, pregnancy or childbirth, disability, military veteran status or other applicable status protected by law, including state of employment protected classes. It is, therefore, our policy and intention to evaluate all employees and prospective employees strictly according to the requirements of the job. All personnel related activities such as compensation, benefits, transfers, job classification, assignments, working conditions, educational assistance, terminations, layoffs, and return from layoffs, and all other terms, conditions and privileges of employment will be administered without regard to race, color, ancestry, age, sex, national origin, pregnancy or childbirth, disability, military veteran status or other applicable status protected by law, including all applicable state of employment protected classes. The University is a Christian religious-affiliated organization; and as such, is not subject to religious discrimination requirements. The University's hiring practices and EEO discrimination practices are in full compliance with both federal and state law. Federal law creates an exception to the “religion” component of the employment discrimination laws for religious organizations (including educational institutions), and permits them to give employment practice preference to members of their own religious beliefs.

Apply now Back to search results Job no: 533270 Work type: Research Faculty Senior management: Agriculture & Life Sciences Department: Biological Systems Engineering 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 *************** during regular business hours at least 10 business days prior to the event. Advertised: May 29, 2025 Applications close:

Applications are invited for a Research Scientist position with the Systems Software Research Group at Virginia Tech. Opportunities exist in two directions. The first direction is on developing innovative software systems - broadly defined to include operating systems, compilers, and run-times - for emerging hardware in cloud and edge computing settings, in particular those with heterogeneous instruction sets, accelerators, programmable devices, I/O virtualization, and capabilities/tagging, toward improved performance, energy efficiency, and security properties. The second direction is at the intersection of program/binary analysis and verification toward developing trustworthy tools for reasoning about security properties of low-level code and developing mitigations. Opportunities also exist to investigate project-relevant topics of mutual interest. The position has no teaching obligations. Responsibilities include: - conducting independent research in these spaces - developing publications for journals, conferences, and workshops, and presenting papers at conferences and workshops - conducting presentations at sponsor events and technology demonstrations and transitions Required Qualifications - PhD in computer science or engineering (or a related field - Strong background and publication record in any of the following areas: heterogeneous computing, operating systems/hypervisors, compilers/run-times, formal verification, proof assistants and verification tools, binary/program analysis, or compilers Preferred Qualifications - Experience developing funding proposals and managing funded projects. Appointment Type Restricted Salary Information Commensurate with Experience Review Date 10/25/2024 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 Cheri Warren at ************* during regular business hours at least 10 business days prior to the event.

Applications are invited for a Research Associate Professor (non-tenure track) with the Systems Software Research Group (**************************** at Virginia Tech. The position involves conducting research at the intersection of program analysis and formal verification toward developing trustworthy tools for reasoning about safety and security properties. Opportunities exist to investigate a broad set of topics including highly scalable program analysis tools for detecting violations of safety and security properties, techniques for verified operating system kernel extensions, logic frameworks for automatic reasoning of security vulnerabilities, verified decompilation, and automatic patching with provable security properties. Opportunities also exist to investigate project-relevant topics of mutual interest. Required Qualifications * PhD in computer science or computer engineering with background and expertise in any of the following areas are sought: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. * Candidates must have a well-established track record of published research at relevant conferences and journals at the level commensurate with a Research Associate Professor ranking. * Experience developing proposals and managing funded programs as Principal Investigator (or Co-Principal Investigator). * Experience mentoring PhD and MS students. * Excellent communication skills. * Ability to work under limited supervision. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Hours per week 40+ Review Date 10/1/2025 Additional Information Required Application Materials: Resume/CV; Cover Letter; Contact Information for 3 References 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Cole Tankersley at ************ during regular business hours at least 10 business days prior to the event.

Applications are invited for a Research Scientist position with the Systems Software Research Group at Virginia Tech. Opportunities exist in two directions. The first direction is on developing innovative software systems - broadly defined to include operating systems, compilers, and run-times - for emerging hardware in cloud and edge computing settings, in particular those with heterogeneous instruction sets, accelerators, programmable devices, I/O virtualization, and capabilities/tagging, toward improved performance, energy efficiency, and security properties. The second direction is at the intersection of program/binary analysis and verification toward developing trustworthy tools for reasoning about security properties of low-level code and developing mitigations. Opportunities also exist to investigate project-relevant topics of mutual interest. The position has no teaching obligations. Responsibilities include: - conducting independent research in these spaces - developing publications for journals, conferences, and workshops, and presenting papers at conferences and workshops - conducting presentations at sponsor events and technology demonstrations and transitions Required Qualifications - PhD in computer science or engineering (or a related field - Strong background and publication record in any of the following areas: heterogeneous computing, operating systems/hypervisors, compilers/run-times, formal verification, proof assistants and verification tools, binary/program analysis, or compilers Preferred Qualifications - Experience developing funding proposals and managing funded projects. Appointment Type Restricted Salary Information Commensurate with Experience Review Date 10/25/2024 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 K Atkins at ************* during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 532482 Work type: Research Faculty Senior management: Vice President for Research Department: Fralin Biomedical Res. Institute Job Description The Purcell Lab at the Fralin Biomedical Research Institute at Virginia Tech is seeking a highly motivated Postdoctoral Associate. Led by Dr. Ryan Purcell, the lab aims to study the developmental neurobiology of psychiatric conditions. The candidate must have excellent interpersonal skills and be comfortable working with a diverse group of colleagues. The lab requires the candidate to be comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data collection is required. The candidate is expected to have a strong record of publications in peer-reviewed journals and conference presentations. The successful applicant will operate equipment to carry out research protocols in-vivo and in-vitro. Assist in coordinating facility services, such as equipment maintenance records, quality control, environmental health and safety, as needed. They will also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping. The successful candidate should also be detail oriented and enjoy a diverse working environment. Required Qualifications * PhD in biology, neuroscience, genetics or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. * Proficiency in cell culture and/or molecular biology. * Demonstrated organizational skills or experience with data management. * Desire to succeed in a fast-paced research environment with multiple duties. * Demonstrated attention to detail, organizational skills, and excellent communication skills. * Ability to work effectively and collegially with lab members at varying career stages. * Ability to maintain a high level of professionalism. Preferred Qualifications * Experience in one or more of the following research areas: neuroscience, biology, genetics. * Demonstrated basic management skills, including managing lab research protocols and coordinating the training of lower-level researchers * Experience with basic laboratory protocols including proper handling of mice behavior, molecular biology, data collection, and data management. * Experience with data analysis software (R, Matlab, etc.) Appointment Type Restricted Salary Information Commensurate with experience, starting at $61,008 Review Date April 1, 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 Brittany Shelton at ***************** during regular business hours at least 10 business days prior to the event. Advertised: February 24, 2025 Applications close:

The Meng Lab is seeking a Postdoctoral Associate to work in a molecular virology lab to study the underlying mechanism(s) of hepatitis E virus (HEV)-associated extrahepatic pathogenesis. The candidates will utilize both in vitro and in vivo model systems to investigate how hepatitis E virus invades the central and peripheral nervous systems to cause neurological injuries leading to various neurological sequalae. The candidates will delineate the molecular, immunological and inflammatory mechanisms associated with hepatitis E virus infection in cells of neurovascular unit, and evaluate the effect of inhibitor(s) on therapeutic intervention of HEV-related neurological sequelae. The candidates are expected to have good written and communication skills, and effectively collaborate with other postdoctoral associates in the lab. Required Qualifications * Ph.D. in virology, immunology, cell biology or related fields. * 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. Preferred Qualifications * Prior experience in viral immunology or molecular virology. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Starting at $59,500; Commensurate with experience Hours per week 40 Review Date April 15, 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 Dr. Xiang-Jin Meng at ************* during regular business hours at least 10 business days prior to the event.

Applications are invited for a Research Associate Professor (non-tenure track) with the Systems Software Research Group (**************************** at Virginia Tech. The position involves conducting research at the intersection of program analysis and formal verification toward developing trustworthy tools for reasoning about safety and security properties. Opportunities exist to investigate a broad set of topics including highly scalable program analysis tools for detecting violations of safety and security properties, techniques for verified operating system kernel extensions, logic frameworks for automatic reasoning of security vulnerabilities, verified decompilation, and automatic patching with provable security properties. Opportunities also exist to investigate project-relevant topics of mutual interest. Required Qualifications - PhD in computer science or computer engineering with background and expertise in any of the following areas are sought: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. - Candidates must have a well-established track record of published research at relevant conferences and journals at the level commensurate with a Research Associate Professor ranking. - Experience developing proposals and managing funded programs as Principal Investigator (or Co-Principal Investigator). - Experience mentoring PhD and MS students. - Excellent communication skills. - Ability to work under limited supervision. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Hours per week 40+ Review Date 10/1/2025 Additional Information Required Application Materials: Resume/CV; Cover Letter; Contact Information for 3 References 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Cole Tankersley at ************ during regular business hours at least 10 business days prior to the event.

A research associate is sought to assist in coastal ecology project, to include field collection of shorebird and invertebrate prey and habitat features, GIS analyses of land cover data, data analyses and preparation of reports and papers related to the project. The university values diversity and continually strives to maintain and promote an inclusive learning and research environment that embrace all students, faculty, and staff. The research project is funded by the Virginia Department of Wildlife Resources. The research associate will: 1) Coordinate project logistics and team activities; 2) supervise field staff and participate in field data collection and lab analyses, 3) conduct needed boating in challenging coastal waters, 4) conduct GIS landcover classifications, 5) coordinate daily with private, state and federal collaborators, 6) conduct data analyses and prepare reports and peer-reviewed papers. The position requires work in coastal Virginia and some travel to and from Blacksburg to work on products. Required Qualifications * M.S. in natural resources; coastal ecology and/or wildlife conservation and management, or related field. * Knowledge of ecological science concepts, principles, and methods as applied to wildlife or other natural resource management sufficient to contribute to project design, quantitative data analysis and science communication. * Proficiency and experience operating motorboats in coastal nearshore environments. * Demonstrated skills in collaborating with others on teams to accomplish shared objectives. * Excellent communication skills and organizational skills. * Experience conducting data analyses and writing peer-reviewed publications Preferred Qualifications * Experience in project coordination and management. * Experience communicating scientific results and methods to agricultural landowners and agricultural and conservation professionals. * Experience mentoring research staff. * Demonstrated commitment to diversity, equity, and inclusion. * Knowledge of natural resource management in coastal settings Appointment Type Restricted Salary Information Commensurate with experience Review Date 9/2/2024 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 Jennifer Phillips at *************** during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 534727 Work type: Research Faculty Senior management: Vice President for Research Department: Fralin Biomedical Res. Institute Job Description The Lessard Laboratory is seeking an enthusiastic and motivated research associate to work on laboratory studies related to exercise physiology, nutrition, metabolism, and diabetes. The lab is located within the Center for Exercise Medicine Research (CEMR) in the Fralin Biomedical Research Institute (FBRI) in Roanoke Virginia. The successful candidate will work on NIH-funded research projects to determine how exercise training, in combination with dietary and pharmacological therapies, influence health and metabolism. More information on current studies can be found at *************************************************** The primary responsibilities of this position will be to manage and supervise various experimental protocols including tissue culture systems, mouse husbandry and physiology, and molecular biology assays. The research associate will also spend significant time and effort on general lab maintenance and organization. The successful candidate should be detail oriented and highly organized with excellent communication skills. Additional duties include data management and analysis, and training/supervising new research staff and students. Benefits of this position include gaining high-level research experience, authorship on scientific publications, and working in a collaborative and intellectually stimulating environment. This is an excellent position for candidates with previous research lab management experience who wish to pursue a career in medical research. Required Qualifications * Graduate degree in biology, health sciences, biochemistry, exercise physiology, or another related field * Demonstrated research and lab management experience * Demonstrated organizational skills and attention to detail * Demonstrated ability and desire to succeed in a fast-paced research environment with multiple concurrent duties * Excellent communication skills * Experience working with aseptic technique and tissue culture * Knowledge and training in biochemistry and molecular biology Preferred Qualifications * Experience supervising undergraduate and graduate research students * Proficiency in various molecular biology techniques including Western blotting, PCR, and immunofluorescence * Experience working with and handling live mice * Experience with mouse metabolic testing including glucose tolerance testing, indirect calorimetry, body composition measurement, and exercise testing * Knowledge and/or experience in exercise physiology, metabolism, or diabetes research Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40+ Review Date 11/21/2025 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Brittany Shelton at ***************** during regular business hours at least 10 business days prior to the event. Advertised: November 5, 2025 Applications close:

A full-time research scientist is sought for the lab of Dr. Jenny Munson at the Fralin Biomedical Research Institute at Virginia Tech. The Munson lab is an interdisciplinary research group of engineers and biologists that study the impact of fluid flow in glioblastoma. Specifically, the project will involve the oversight and creative development of a translational study examining the glioblastoma microenvironment. This translational study will utilize patient tissues in established pre-clinical in vitro model systems and histological tissue analyses to generate data for correlation with patient clinical data. The position's responsibilities will include: • Collaborate with interdisciplinary teams including biomedical engineering, cancer biology and clinical research partners. • Design, plan, and execute experiments to investigate cancer-related research questions. • Collaborate with interdisciplinary teams • Analyze and interpret experimental data, and contribute to the development of research publications. • Present research findings at conferences and communicate results effectively to both scientific and non-scientific audiences. • Contribute to the development and optimization of laboratory protocols and techniques. • Mentor and train junior team members, including students and technicians. • Maintain accurate laboratory records and ensure compliance with safety protocols. Required Qualifications • Ph.D. in cancer biology, biomedical engineering, or a related discipline. • Background in cancer research and a track record of scientific presentations and publications. • Proficiency in a range of laboratory techniques and instrumentation. • Excellent analytical and problem-solving skills. • Ability to work both independently and collaboratively in a team and lead research projects. • Strong communication skills. Preferred Qualifications • Experience with grant writing and securing research funding. • Prior experience in translational research or industry collaborations. • Demonstrated ability to develop tools and solve problems. • Demonstrated commitment to mentorship and development of junior scientists. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40+ Review Date 9/5/2025 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 Blacksburg, the greater Washington, D.C. area, 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 Brittany Shelton at ***************** during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 533982 Work type: Research Faculty Senior management: Vice President for Research Department: Fralin Biomedical Res. Institute Job Description A full-time research scientist is sought for the lab of Dr. Jenny Munson at the Fralin Biomedical Research Institute at Virginia Tech. The Munson lab is an interdisciplinary research group of engineers and biologists that study the impact of fluid flow in glioblastoma. Specifically, the project will involve the oversight and creative development of a translational study examining the glioblastoma microenvironment. This translational study will utilize patient tissues in established pre-clinical in vitro model systems and histological tissue analyses to generate data for correlation with patient clinical data. The position's responsibilities will include: * Collaborate with interdisciplinary teams including biomedical engineering, cancer biology and clinical research partners. * Design, plan, and execute experiments to investigate cancer-related research questions. * Collaborate with interdisciplinary teams * Analyze and interpret experimental data, and contribute to the development of research publications. * Present research findings at conferences and communicate results effectively to both scientific and non-scientific audiences. * Contribute to the development and optimization of laboratory protocols and techniques. * Mentor and train junior team members, including students and technicians. * Maintain accurate laboratory records and ensure compliance with safety protocols. Required Qualifications * Ph.D. in cancer biology, biomedical engineering, or a related discipline. * Background in cancer research and a track record of scientific presentations and publications. * Proficiency in a range of laboratory techniques and instrumentation. * Excellent analytical and problem-solving skills. * Ability to work both independently and collaboratively in a team and lead research projects. * Strong communication skills. Preferred Qualifications * Experience with grant writing and securing research funding. * Prior experience in translational research or industry collaborations. * Demonstrated ability to develop tools and solve problems. * Demonstrated commitment to mentorship and development of junior scientists. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40+ Review Date 9/5/2025 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 Blacksburg, the greater Washington, D.C. area, 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 Brittany Shelton at ***************** during regular business hours at least 10 business days prior to the event. Advertised: August 19, 2025 Applications close:

The Kohl Center in the Department of Agricultural and Applied Economics at Virginia Tech invites applications for a non-tenured position at the rank of Postdoctoral Associate with a specialization in Data Science/Applied Econometrics and its application in applied economics and social sciences broadly defined. The position is one-year, 12-month, calendar-year appointment, with the possibility of renewal based on funding availability and performance. The anticipated start date for this position is May 2026. Appointment Description: The Kohl Centre at Virginia Tech is a pioneering interdisciplinary hub dedicated to advancing, implementing, and disseminating state-of-the-art applied economic problem-solving informed by data analytics solutions. The successful candidate will develop a strong applied research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will contribute to both academic and policy-relevant publications, while helping secure external funding to support ongoing and future research efforts. The candidate will also work to increase the impact of Kohl Center research by engaging stakeholders through training, workshops, webinars, and action-oriented projects and programs. Opportunity for Advising and Teaching: At the graduate level, the individual will participate in recruiting and advising/mentoring graduate students, including serving on graduate committees. At the undergraduate level, the individual will assist in recruiting, mentoring, and training undergraduate students in our experiential learning program. There will be opportunities to teach graduate or undergraduate courses. 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. Required Qualifications * PhD in agricultural and applied economics, economics, data science, econometrics, statistics, computer science, operations research, public policy, or a closely related field (candidates with expected completion dates prior to the start of employment will be considered). Ph.D. or equivalent terminal degree must be awarded no more than four years prior to the effective date of appointment, with a minimum of one year eligibility remaining. * Proficiency in R, including R shiny, and other data-science related tools such as Git. * Research experience using R and modern data-analytical tools * Explicit research experience or coursework on the boundary between data science/statistics/econometrics and social sciences in their major field(s) * Record of peer-reviewed publications or advanced working papers relevant to the position description. * Excellent communication and organization skills and ability to work collaboratively with diverse teams. Preferred Qualifications * Expertise in agricultural economics, health economics, policy analysis, small business and entrepreneurship, or applied econometrics. * Strong quantitative skills and experience with cutting-edge techniques in data science, econometrics and machine learning, especially in the areas of causal machine learning and optimal policy learning. * Proficiency in other languages such as Stata, and/or Python modeling languages. * Research experience using Python. * Experience working with large structured and unstructured datasets such as multimodal data and remote sensing data. * Ability to engage effectively with stakeholders through outreach, extension, and engagement activities. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550-65,029 Hours per week 40; M-F 8:00 a.m. - 5:00 p.m. Review Date 12/31/2025 Additional Information Applicants should submit the following materials via the Virginia Tech careers portal: * Cover letter outlining research interests and relevant experience. * Curriculum vitae (CV). * Three confidential letters of reference. * A sample of academic writing Review Date: Applications will be reviewed on a rolling basis, with a priority deadline of December 31, 2025. The position will remain open until filled. For more information, please contact Dr. Le Wang at ***************** 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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 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 Dr. Le Wang at ***************** during regular business hours at least 10 business days prior to the event.