Postdoctoral Researcher - Systems Biology and Resilience
Posted 24 Jan 2020
Beth Israel Hospital
A postdoctoral fellow position is available immediately in the Department of Pathology at Harvard Medical School/Beth Israel Deaconess Medical Center to study resilience in Alzheimer’s disease. The position is funded by an NIH R01 research grant titled “The Alzheimer’s Disease Resiliome: Pathway Analysis and Drug Discovery" under the direction of Dr. Winston Hide (Systems RNA medicine), Noncoding RNA Laboratory, Beth Israel Hospital, together with collaborators Dr. Doo Yeon Kim and Dr. Rudolph Tanzi (Massachusetts General Hospital). The collaborators seek to understand the manner in which some individuals appear to be resilient to the pathologies associated with the onset of Alzheimer’s disease and to use that information to promote healthy aging and decrease the severity of neurodegenerative diseases. 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 apprehend and curate Alzheimer’s disease data sets from collaborators and the public domain to evaluate and synthesize molecular signatures and so integrate models that pertain to concepts of disease and resilience. Datatypes will include but are not restricted to mRNAs, miRNAs, ncRNAs, single-cell and tissue-level transcriptomes, methylation, acetylation and genome variant data. Integrated molecular signatures from human subject data, and from model organoid data, will be assessed and incorporated into pathway-disease-drug network models.
The project is expected to expose several layers of pathological pathway cascades, and these will need to be evaluated and modeled. A major role will be to predict, test, and provide prioritized intervention strategies, such as drugs, miRNAs, and potential diagnostics.
- Ph.D. in a quantitative field related to bioinformatics (e.g. with a specialization in bioinformatics related to genetics, neurosciences, disease modeling, pathway modeling).
- Extensive experience working with multi-omic datasets.
- Ability to generate computational disease models and hypotheses.
- Superb communication skills.
- Ability to work independently and as part of a team.
- Ability to drive a research project from design stages to data analysis, figure preparation, and manuscript writing.
- A passion for scientific research.
- Strong organization and time-management skills.
- Meticulous attention to detail.
- Excellent working knowledge of R and other scripting language.
- This position is a fundamentally important one and the lab is seeking a highly motivated individual who relishes a challenge and is not shy about diving into complex datasets.
- Sound knowledge of statistics.
- Experience with manipulating and curating Alzheimer’s transcriptome datasets.
- Experience using large-scale datasets to rank gene and pathway candidates, and to define key network events that may be driving a disease process.
- Extremely comfortable with network-orientated bioinformatics.
- Knowledge of the aging and neurodegeneration research field.
- A strong understanding of genetics.
- Experience with human-derived model systems.