Postdoc - Long-Read RNA Methods for Neurodegeneration

Office of Intramural Training & Education

Framingham (MA)

Presencial

USD 60.000 - 76.000

Jornada completa

Hace 5 días
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Descripción de la vacante

The Translational Neurogenetics Unit at the Center for Alzheimer’s Disease and Related Dementias (CARD), National Institute on Aging (NIA), NIH, Framingham, MA invites applications for a Postdoctoral Fellow to develop and optimize long-read RNA methods for neurodegeneration using human brain tissue.

You will lead wet-lab protocol development, including low-input and degraded tissue, and explore direct RNA sequencing strategies.

Formación

  • PhD in molecular biology, genomics, biochemistry, neuroscience or a related field with <5 years postdoc experience.
  • Hands-on RNA work and NGS library prep experience required; ability to troubleshoot lab protocols.
  • Experience with long-read sequencing and direct RNA sequencing is a plus.
  • Ideas for applying or optimizing protocols to degraded/postmortem tissue encouraged.

Responsabilidades

  • Lead wet-lab method development for long-read RNA sequencing in human brain tissue.
  • Optimize protocols for low-input and degraded tissue and scale through automation.
  • Validate findings with computational analyses and link isoforms to protein changes.
  • Collaborate with CARD proteomics, and with external collaborators; publish and present findings.

Conocimientos

RNA work
Library preparation
Lab protocols development
Data analysis (R/Python/CLI)
Oxford Nanopore / PacBio

Educación

PhD in molecular biology/genomics/biochemistry/neuroscience

Herramientas

Oxford Nanopore
PacBio
Lab automation
R
Python

Descripción del empleo

The Translational Neurogenetics Unit at the Center for Alzheimer’s Disease and Related Dementias (CARD), National Institute on Aging (NIA), NIH, Framingham, MA invites applications for a Postdoctoral Fellow to develop and optimize long-read RNA methods for neurodegeneration using human brain tissue.

You will lead wet-lab protocol development, including low-input and degraded tissue, and explore direct RNA sequencing strategies.

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