Job Description:
Project summary:
The recent explosion in genome-wide association studies and exome-sequencing projects in psychiatric disorders, have revealed many genes likely to be involved in these debilitating disorders. The Broad Institute’s Stanley Center for Psychiatric Genetics is a major driver of efforts that are resulting in exciting glimpses of molecular pathways emerging from the data (e.g., those involved in synaptic plasticity, neurodevelopment, as well as signaling channels and receptors of the brain). While such examples illustrate how genes linked to psychiatric disorders interact at the level of proteins to form networks involved in diverse areas of neurobiology, most of the identified genes do not fall into any well defined cellular pathway or brain network and it is now clear that the biology also includes largely uncharted and incomplete networks that are probably unique to the human brain. This is a key bottleneck towards biological insight and therapeutic intervention.
This project is the first of its kind to overcome these challenges through an integrative approach that leverages recent genetic discoveries with large-scale proteomics experiments to derive a human brain network (of physically interacting proteins) perturbed by genetics and targeted by therapeutics in psychiatric disorders. This network will serve as an accelerator of functional insight from current and future psychiatric genetics data and it sits at the infliction point of transformative technology in complex trait genetics in psychiatric diseases, large-scale proteomics, human stem cell technologies that have just become mature.
Group description:
We are part of a lively team of computational biologists, medical geneticists, medical doctors and proteomics experts, software engineers dedicated to exploiting the recent revolution in genetics and proteomics to use network-based approaches to functional interpretation of massive genomic datasets in psychiatric diseases Specifically, this project aims to use large-scale protein-protein interaction experiments in human brain cells derived from stem cell technology to map and understand the brain networks perturbed by genetics in psychiatric disorders. The ultimate aim is to point to new therapeutic paradigms. We are part of the vibrant research community at the Broad Institute, Massachusetts General Hospital and Harvard Medical School. The Broad Institute is a new kind of deeply collaborative research institution that is transforming medicine and human health by performing experimental research and analyzing scientific data on an unprecedented scale.
Position description and characteristic duties
We are looking for a highly motivated and skilled Post Doctoral Associate with a Ph.D. in the fields of bioinformatics, statistical genetics, computational biology, complex trait genetics (optimally in the neuropsychiatric field) or neurobiology to be a scientific driver of a fiercely ambitious project to map human brain networks in psychiatric diseases at an unprecedented scale and resolution. The fellow will work within a team at the Broad Institute’s Stanley Center that includes geneticists, bioinformatics specialists, as well as world leaders in proteomics, stem cell technologies and neurobiology.
Specifically, the applicant will be leading figure in a cross-disciplinary team that transforms proteomics data from human neurons (derived from induced pluripotent stem cells) into probabilistic interaction networks and uses these networks interpret genetic risk factors in schizophrenia, bipolar disorder, attention deficit hyperactive disorder, autism, and other psychiatric diseases.
This position offers an exciting opportunity to become involved in the age of biological “big data” and to contribute to the current revolution in our biological understanding of severe psychiatric diseases. Moreover, the person filling this role will have the opportunity to participate in a community of Broad and Harvard / MIT scientists to learn about cutting edge research in genomics, neurobiology, and proteomics.
Requirements:
Qualifications
A Ph.D. in Complex Trait Genetics, Statistical Genetics, Computer Science, Bioinformatics, Biostatistics, Biology, or a related field
Experience in the fields of neurological or neuropsychiatric diseases a plus.
Highly proficient in one or more computer languages appropriate for scalable data analysis (e.g., Python, R, C++, or the likes).
Comfort and experience with programming for biological data analysis
Ability to communicate scientific material and collaborate well.
Creative, highly motivated, independent.
The desire to work in a dynamic, multidisciplinary research environment.
Ability and will to drive and lead a project.
EOE/Minorities/Females/Protected Veterans/Disabilities
Additional Info:
[Click Here to Access the Original Job Post]
Project summary:
The recent explosion in genome-wide association studies and exome-sequencing projects in psychiatric disorders, have revealed many genes likely to be involved in these debilitating disorders. The Broad Institute’s Stanley Center for Psychiatric Genetics is a major driver of efforts that are resulting in exciting glimpses of molecular pathways emerging from the data (e.g., those involved in synaptic plasticity, neurodevelopment, as well as signaling channels and receptors of the brain). While such examples illustrate how genes linked to psychiatric disorders interact at the level of proteins to form networks involved in diverse areas of neurobiology, most of the identified genes do not fall into any well defined cellular pathway or brain network and it is now clear that the biology also includes largely uncharted and incomplete networks that are probably unique to the human brain. This is a key bottleneck towards biological insight and therapeutic intervention.
This project is the first of its kind to overcome these challenges through an integrative approach that leverages recent genetic discoveries with large-scale proteomics experiments to derive a human brain network (of physically interacting proteins) perturbed by genetics and targeted by therapeutics in psychiatric disorders. This network will serve as an accelerator of functional insight from current and future psychiatric genetics data and it sits at the infliction point of transformative technology in complex trait genetics in psychiatric diseases, large-scale proteomics, human stem cell technologies that have just become mature.
Group description:
We are part of a lively team of computational biologists, medical geneticists, medical doctors and proteomics experts, software engineers dedicated to exploiting the recent revolution in genetics and proteomics to use network-based approaches to functional interpretation of massive genomic datasets in psychiatric diseases Specifically, this project aims to use large-scale protein-protein interaction experiments in human brain cells derived from stem cell technology to map and understand the brain networks perturbed by genetics in psychiatric disorders. The ultimate aim is to point to new therapeutic paradigms. We are part of the vibrant research community at the Broad Institute, Massachusetts General Hospital and Harvard Medical School. The Broad Institute is a new kind of deeply collaborative research institution that is transforming medicine and human health by performing experimental research and analyzing scientific data on an unprecedented scale.
Position description and characteristic duties
We are looking for a highly motivated and skilled Post Doctoral Associate with a Ph.D. in the fields of bioinformatics, statistical genetics, computational biology, complex trait genetics (optimally in the neuropsychiatric field) or neurobiology to be a scientific driver of a fiercely ambitious project to map human brain networks in psychiatric diseases at an unprecedented scale and resolution. The fellow will work within a team at the Broad Institute’s Stanley Center that includes geneticists, bioinformatics specialists, as well as world leaders in proteomics, stem cell technologies and neurobiology.
Specifically, the applicant will be leading figure in a cross-disciplinary team that transforms proteomics data from human neurons (derived from induced pluripotent stem cells) into probabilistic interaction networks and uses these networks interpret genetic risk factors in schizophrenia, bipolar disorder, attention deficit hyperactive disorder, autism, and other psychiatric diseases.
This position offers an exciting opportunity to become involved in the age of biological “big data” and to contribute to the current revolution in our biological understanding of severe psychiatric diseases. Moreover, the person filling this role will have the opportunity to participate in a community of Broad and Harvard / MIT scientists to learn about cutting edge research in genomics, neurobiology, and proteomics.
Requirements:
Qualifications
A Ph.D. in Complex Trait Genetics, Statistical Genetics, Computer Science, Bioinformatics, Biostatistics, Biology, or a related field
Experience in the fields of neurological or neuropsychiatric diseases a plus.
Highly proficient in one or more computer languages appropriate for scalable data analysis (e.g., Python, R, C++, or the likes).
Comfort and experience with programming for biological data analysis
Ability to communicate scientific material and collaborate well.
Creative, highly motivated, independent.
The desire to work in a dynamic, multidisciplinary research environment.
Ability and will to drive and lead a project.
EOE/Minorities/Females/Protected Veterans/Disabilities
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]