postdoctoral traineeship is offered in diagnostic and therapeutic applications for Alzheimer’s Disease. The study will exploit single-cell, spatial, and tissue level transcriptomic data coupled with genomic regulatory circuitry and in-depth noncoding RNA data.
We actively encourage diversity: members of under represented minorities are particularly encouraged to apply.
The traineeship is part of our career development program to rapidly develop molecular models to apply to diagnostics and drug repurposing.
The position is under the direction of Dr. Winston Hide (Systems RNA medicine). The laboratory primarily uses computational modeling of neurodegenerative diseases prior to validating results with collaborators in vitro, and in mouse models.
The postdoctoral trainee will:
Generate and analyze small RNA-Seq profiles from exosomes of Alzheimer’s disease patients.
Apprehend, curate, and analyze miRNA expression profiles relating to Alzheimer’s disease (AD) datasets from collaborators and the public domain to evaluate and synthesize molecular signatures for blood-based diagnosis of AD.
Integrate small RNA-Seq results with other available public and in-house data types, including but not limited to RNA-Seq, single cell RNA-Seq, methylation, and spatial transcriptomics.
Develop systems biology models for prioritizing actionable miRNAs for downstream drug screening.
PhD in a quantitative field related to bioinformatics (e.g. genomics, computational biology, biostatistics, or computer science)
Extensive experience working with RNA-seq datasets.
Experience with small RNA-Seq is highly desired.
Experience with single cell and spatial transcriptomics technologies.
Excellent working knowledge of R and other scripting languages
Experience with network modeling and pathway analysis.
Ability to generate computational disease models and hypotheses
Superb communication skills
Ability to work independently and as part of a team
Demonstrated ability to drive a research project from design stages to data analysis, figure preparation and manuscript preparation
A passion for scientific research
Strong organization and time-management skills
Meticulous attention to detail
This position is a fundamentally important one and we are seeking a highly motivated individual who relishes a challenge and is not shy about diving into complex datasets.