Difference between revisions of "Openings"

From Chuang Lab
Jump to: navigation, search
Line 5: Line 5:
 
'''* Molecular evolution and ecology of tumors treated with immunotherapy and/or chemotherapy.'''
 
'''* Molecular evolution and ecology of tumors treated with immunotherapy and/or chemotherapy.'''
  
'''* Development of data mining approaches to predict outcome from cancer genomics and imaging data.'''
+
'''* Development of artificial intelligence approaches to predict outcome from combined cancer genomics and imaging data.'''
  
 
'''Both of these positions involve close collaborations with experimental groups studying clinical tissues and conducting new experiments in xenografts and organoids. Thus candidates will have novel opportunities at the intersection of data interpretation, algorithms, and experimental design.'''
 
'''Both of these positions involve close collaborations with experimental groups studying clinical tissues and conducting new experiments in xenografts and organoids. Thus candidates will have novel opportunities at the intersection of data interpretation, algorithms, and experimental design.'''

Revision as of 09:32, 4 June 2018

The philosophy of our lab is that computational biology is critical not only to the processing and manipulation of data, but to the scientific discovery process itself. Our lab empowers computational biologists to make discoveries by providing access to novel data and computational infrastructure, resources to conduct new measurements, and partnerships with experimental colleagues with shared interests.

As of June 2018, we currently have post-doctoral openings in:

* Molecular evolution and ecology of tumors treated with immunotherapy and/or chemotherapy.

* Development of artificial intelligence approaches to predict outcome from combined cancer genomics and imaging data.

Both of these positions involve close collaborations with experimental groups studying clinical tissues and conducting new experiments in xenografts and organoids. Thus candidates will have novel opportunities at the intersection of data interpretation, algorithms, and experimental design.

At the post-doctoral level, the ideal candidate will have Ph.D. experience in computational biology, molecular evolution, cancer genomics, or a similar discipline. Strong computing (programming, data analysis, statistical inference, etc), publication, and communication skills are essential. Outstanding applicants new to computational biology will also be considered as the lab has an extensive record of training candidates who originally studied in other fields, including physics, applied math, computer science, and experimental molecular biology. Across these backgrounds, enthusiasm and aptitude for computational biology are what define the lab. Interested applicants should send a CV and a research statement to Jeffrey Chuang at jeff.chuang@jax.org. Reference letters will be requested subsequently.

The Jackson Laboratory for Genomic Medicine (JAX-GM) is part of The Jackson Laboratory, a non-profit research institute with a mission to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. The JAX-GM campus is in Farmington, CT, adjacent to the University of Connecticut Medical School. JAX-GM resides in a state-of-the-art facility constructed in 2014 with cutting edge resources in sequencing, single cell biology, computational biology, cloud computing, imaging, genetic engineering, and xenografting, among other technologies. JAX-GM currently has 28 faculty members with focuses in cancer genomics, computational biology, immunology, microbiome, human genetics, and genome technology development. The Chuang lab collaborates regularly with many labs at JAX-GM and our sister institute, The Jackson Laboratory for Mammalian Genetics (Bar Harbor, ME) which has been a world leader in mouse genetics for the past century. JAX-GM is in the greater Hartford region, a lively metropolitan area of over one million people that is a two hour drive from both Boston and New York City.

Aside from the current openings listed above, our lab is always open to new students and postdocs on an ad hoc basis. Please contact the lab for specific questions.