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Post Doctoral Research Associate Bioinformatics

Employer
Beth Israel Deaconess Medical Center/Harvard Medical School
Location
Boston, Massachusetts (US)
Salary
$50,000+ per year with benefits
Closing date
Jan 6, 2022

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Discipline
Life Sciences, Bioinformatics
Position Type
Full Time
Job Type
Postdoc Fellowship
Organization Type
Academia
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The Hide Lab at Harvard Medical School and BIDMC seeks a bioinformatics/computational biology postdoctoral fellow for training. We focus on target discovery, and diagnostic and therapeutic applications for Alzheimer’s Disease. The position is under the direction of Dr. Winston Hide (Systems RNA medicine) and is available immediately. For a list of publications from the Hide lab see here. Hidelab.net

You will be working on a project from our range of translational applications and method development opportunities using single cell RNA-Seq and spatial transcriptomics technologies. You will have access to serum, tissue spatial and single cell samples processed here at our facility.

We work on integrating:

  • Whole genome sequencing of large cohorts of Alzheimer’s subjects. 
    • 4000+ subjects
    • Resilience against AD pathology is a focus
  • Developing and drugging signatures of AD resilience
    • Modelling resilience to AD pathology against AD in 3D systems (R01 project)
    • Determining single cell signatures of resilience to AD pathology with the CIRCUITS consortium
    • Further developing systems-based drug repurposing for resilience active drugs
  • Spatial transcriptomics, single nucleus, miRNA and whole RNA assays of ‘extreme phenotype’ centenarian subjects who show resistance or resilience to AD
  • Mapping the AD continuum using pathway activity signatures {AD GeneDex}
    • Developing reference signatures for AD facets and predicting and testing drugs that perturb or enhance AD events

Located in the longwood area in Boston, the Hide Lab provides access to cutting-edge technologies at the RNA Precision Medicine Core and at the newly established Spatial Transcriptomics Unit at BIDMC. The Hide Lab is part of the Harvard Initiative for RNA Medicine and collaborates with other several other leading research groups locally and internationally.

The Hide Lab values team-work and a healthy work-life balance. We are an equal opportunity employer and historically under-represented applicants are particularly encouraged to apply.

Qualifications

  • PhD in a quantitative and/or a computational field related to bioinformatics (e.g. computer science, computational biology, biostatistics)
  • Proficiency working with transcriptomics datasets and assays, including RNA-Seq, scRNA-Seq, or spatially resolved transcriptomics. 
  • Excellent programming and scripting skill in R, python, C++, or other languages. Having published/released bioinformatics packages and workflows is a big plus.
  • Experience with network modeling and pathway analysis is a big plus. 
  • Ability to lead research projects evidenced by peer-reviewed publications
  • Experience with transcriptomics of neurodegenerative diseases, especially Alzheimer’s, is a big plus.

Responsibilities

  • Generate and analyze single cell and spatially resolved transcriptomics profiles from of Alzheimer’s disease brains.
  • Integrate various modalities of transcriptomics data.
  • Develop systems biology models for prioritizing actionable therapeutic/diagnostic targets for downstream drug screening. 

Term

The position is available immediately and can be renewed annually

As a member of Hide Lab you will: 

  • Work on cutting-edge research in computational and systems biology with access to cutting-edge Alzheimer’s disease omics data.  
  • Collaborate with world-class researchers in neurodegenerative diseases and non-coding RNA. 
  • Receive comprehensive, focused, career directed hands-on training to pursue your goals in research and academia including: scientific communication, collaboration, and grant writing. 
  • Benefit from training opportunities offered by Harvard Medical School, the Harvard Catalyst, and BIDMC.  
  • Work in a vibrant and dynamic lab environment with supportive colleagues.  
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