Post-doctoral in Biomedical Data Science at Yale University, USA

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

Post-doctoral in Biomedical Data Science: Yale University invites applications for a post-doctoral position in Biomedical Data Science. This is a 2-year position with the possibility of extensions. The project scope will be tailored to the candidate’s interests and abilities, focusing on purely computational research within computational biology and biomedical data science.

Post-doctoral Position in Biomedical Data Science at Yale University


Summary Table

TitlePost-doctoral Position in Biomedical Data Science
DesignationPost-doctoral Research Fellow
Research AreaComputational Biology and Biomedical Data Science
LocationYale University, United States
Eligibility/QualificationPhD in Computational Biology or related fields
Job Duration2 years, with possible extensions

Designation

Post-doctoral Research Fellow


Research Area

Computational Biology and Biomedical Data Science, with sub-areas including:

  • Analysis of biological networks
  • Personal and disease genomics
  • Deep learning
  • Privacy in biomedical data
  • Wearable data analysis
  • Macromolecular simulation and imaging (via cryo-EM)

Location

Yale University, United States


Eligibility/Qualification

  • PhD in Computational Biology or a related quantitative scientific field (e.g., Theoretical Chemistry, Computer Science).
  • Strong programming skills and experience in solving practical computational problems (e.g., proficiency in C/C++, R/Matlab, Python, etc.).
  • Prior experience in one or more of the mentioned research areas is highly desirable.

Job Description

The post-doctoral researcher will engage in computational research tailored to their interests and expertise within computational biology and biomedical data science. Key responsibilities include:

  • Developing and implementing computational methods and algorithms.
  • Analyzing biological networks, genomics data, or wearable data.
  • Utilizing deep learning methods or performing macromolecular simulations and imaging.
  • Collaborating with multidisciplinary teams and contributing to high-impact publications.

How to Apply

Applicants are requested to send the following via email:

  1. CV including a list of publications.
  2. Contact details of three references.

Last Date for Apply

Until Position Flled


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