Postdoctoral Associate at Virginia Tech, USA

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

Postdoctoral Associate: Virginia Tech’s NSF Center for Community Empowering Pandemic Prediction and Prevention from Atoms to Societies (COMPASS Center) invites applications for a Postdoctoral Associate with expertise in machine learning and computational biology. This role focuses on developing advanced computational methodologies to enhance our understanding of virus-host interactions at genetic, molecular, and cellular levels, contributing to groundbreaking research in pandemic prediction and prevention.

Designation

Postdoctoral Associate

Research Area

  • Machine Learning
  • Computational Biology
  • Pandemic Prediction and Prevention

Location

Blacksburg, Virginia

Eligibility/Qualification

  • PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related discipline (PhD must have been awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining).
  • Expertise in advanced machine learning methods (e.g., transformers, LLMs) applied to biological sequence data.
  • Strong analytical and problem-solving skills, with a demonstrated ability to innovate in computational biology.
  • Proficiency in programming languages such as Python and R, along with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).
  • Proven ability to publish in high-impact, peer-reviewed journals.
  • Excellent communication skills and experience collaborating in interdisciplinary teams.

Preferred Qualifications:

  • Experience with data integration, database management, and computational pipeline development.
  • Background in viral genomics or evolutionary biology.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, or HPC environments).

Job Description

The successful candidate will be responsible for:

  • Developing and applying modern machine learning algorithms and computational tools to analyze viral sequence datasets.
  • Integrating publicly available and center-specific viral genomic datasets with literature-curated information.
  • Investigating viral genome evolution to gain insights into host specificity, pathogenicity, drug resistance, and environmental persistence.
  • Collaborating with researchers across various disciplines including virologists, computational biologists, and environmental engineers.
  • Engaging in science communication and community outreach related to pandemic research.
  • Preparing high-quality manuscripts for publication and presenting findings at scientific conferences.
  • Contributing to the development of research proposals and grant applications for the NSF COMPASS Center’s mission.

How to Apply

Interested candidates should submit the following:

  1. A cover letter detailing research experience, career goals, and fit for the position.
  2. A curriculum vitae (CV) including a list of publications.
  3. Contact information for three professional references.

Last Date to Apply

Open until filled (Review Date: March 1, 2025)


Join us in our mission to predict and prevent pandemics through innovative research at Virginia Tech’s NSF COMPASS Center!

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