Postdoc — Interpretable DNA/RNA Ensemble Analysis

Johns Hopkins University

Baltimore (MD)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Health and life benefits
Career development resources
Retirement support

Job summary

Johns Hopkins University seeks a PREP Research Associate in Baltimore, MD, focusing on DNA/RNA ensemble quantification and molecular dynamics. This role involves developing algorithms and producing reproducible research software, contributing to significant scientific collaborations.

The ideal candidate will have a Ph.D. and experience in biomolecular simulations, with strong programming abilities in Python. This position is part of a team where communication and collaboration are key to success.

Qualifications

  • Ph.D. in a relevant field, preferably related to biology or computational science.
  • Experience with biomolecular simulation and trajectory analysis required.
  • Programming skills in Python or Julia and ability to maintain version-controlled code.

Responsibilities

  • Develop and optimize distance metrics based on base-pair reorganization.
  • Implement clustering and model-selection for molecular dynamics datasets.
  • Present research findings at conferences and meetings.

Skills

Biomolecular simulation experience
Strong scientific programming (Python preferred)
Understanding of clustering/unsupervised learning
Statistics/statistical physics background
Strong written and oral communication skills

Education

Ph.D. in physics, chemistry, biophysics, computational biology, applied mathematics, computer science

Tools

Python
Julia

Job description

Johns Hopkins University seeks a PREP Research Associate in Baltimore, MD, focusing on DNA/RNA ensemble quantification and molecular dynamics. This role involves developing algorithms and producing reproducible research software, contributing to significant scientific collaborations.

The ideal candidate will have a Ph.D. and experience in biomolecular simulations, with strong programming abilities in Python. This position is part of a team where communication and collaboration are key to success.

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