What are the responsibilities and job description for the Computational Postdoctoral Associate position at The Jackson Laboratory?
Computational Postdoctoral Associate Carter Lab The Carter Lab has an opening for a postdoctoral associate in the computational biology of Alzheimer's disease. This position will be part of our ongoing studies that seek to understand the origins, progression, and potential treatments of Alzheimer's disease through multiple experimental platforms. The position will focus on characterizing donor-derived organoid models and assessing their utility in precision medicine approaches to treating Alzheimer's disease. This process encompasses various computational and systems biology approaches, including big data analysis, dimensional reduction, inference of disease relevance, and pharmacogenomic analysis of targeted therapies.
This project is embedded in a broader set of studies using mouse and non-human primate models to enable unique cross-species analysis and accelerate the discovery of treatments for dementia. We are particularly interested in candidates with expertise in systems biology who can develop innovative ideas in translational data analysis.
Our collaborative environment provides access to a rich data environment and opportunities for follow-up experimentation. We value open science and foster an inclusive culture to advance scientific progress.
The Jackson Laboratory offers excellent educational and training opportunities for JAX Postdoctoral Associates. Exceptional candidates are encouraged to apply for the prestigious JAX Scholar award, which supports promising early-career postdoctoral associates conducting cutting-edge biomedical research at JAX.
Responsibilities:
The successful candidate will perform independent computational analyses of multiple data sets to prioritize molecular hypotheses of Alzheimer's disease development. They will document and report results to center colleagues for collaborative experimental validation. They will lead efforts to disseminate research results, including data and analysis, via publications, data sharing, and presentations to consortium peers and at scientific meetings.
Postdocs are also expected to participate in the broader Jackson Laboratory community to enhance their career development and progression.
Qualifications:
•Ph.D. in bioinformatics, computational biology, biostatistics, or related field
•Exceptional verbal and written communication skills
•Ability to collaborate across disciplines
•Demonstrated writing ability as evidenced by significant contribution/leadership role in bringing a minimum of one 1st author paper from graduate work to publication
This project is embedded in a broader set of studies using mouse and non-human primate models to enable unique cross-species analysis and accelerate the discovery of treatments for dementia. We are particularly interested in candidates with expertise in systems biology who can develop innovative ideas in translational data analysis.
Our collaborative environment provides access to a rich data environment and opportunities for follow-up experimentation. We value open science and foster an inclusive culture to advance scientific progress.
The Jackson Laboratory offers excellent educational and training opportunities for JAX Postdoctoral Associates. Exceptional candidates are encouraged to apply for the prestigious JAX Scholar award, which supports promising early-career postdoctoral associates conducting cutting-edge biomedical research at JAX.
Responsibilities:
The successful candidate will perform independent computational analyses of multiple data sets to prioritize molecular hypotheses of Alzheimer's disease development. They will document and report results to center colleagues for collaborative experimental validation. They will lead efforts to disseminate research results, including data and analysis, via publications, data sharing, and presentations to consortium peers and at scientific meetings.
Postdocs are also expected to participate in the broader Jackson Laboratory community to enhance their career development and progression.
Qualifications:
•Ph.D. in bioinformatics, computational biology, biostatistics, or related field
•Exceptional verbal and written communication skills
•Ability to collaborate across disciplines
•Demonstrated writing ability as evidenced by significant contribution/leadership role in bringing a minimum of one 1st author paper from graduate work to publication
