Job ID: 674056152
Job date: 2018-04-28
End Date: 2018-06-27
Company : Centre for Addiction and Mental Health Country : Canada Role : Research Scientist
Job date: 2018-04-28
End Date: 2018-06-27
Company : Centre for Addiction and Mental Health Country : Canada Role : Research Scientist
Job Description:
The Krembil Centre for Neuroinformatics is hiring world-leading specialists to transform our understanding of mental health by organizing, integrating, analyzing, visualizing and modelling data across all levels of the brain —from genes to circuits to behaviour. This multimodal data is gathered across the clinical environment including genetic, epigenetic, MRI, DTI, fMRI, hd-EEG, actigraphy and electronic medical record data. Teams will employ state-of-the-art techniques including topological data analysis, machine learning and multiscale computational modeling to accelerate identification and treatment of mental health disorders. Research is performed in an open, team science environment, with an emphasis on reproducible data-driven research and a patient-centric approach. A focus on global collaboration is key to transforming our understanding of mental health and its treatment. The centre will operate as an incubator for medical technologies to identify, manage and treat mental illness, while shaping policy at national and global levels. The Independent Scientist for Computational Genomics will build and lead a team of talented bioinformatics researchers, computational biologists, and computer scientists who employ and develop state-of-the-art genetic, epigenetic and transcriptomic analyses and predictive models to provide new insights into mental health and brain disorders in a data driven way, making outcome predictors and identifying optimal intervention opportunities. You have expertise in computational genetics, including the design, implementation and deployment of computational, statistical, predictive techniques and integration with multi-modal neuroscience and clinical datasets. You will lead this team in collaboration with clinical scientists to identify genes, pathways, cells and circuits operant in mental health and addictions through interrogation of complex multi-omics data sets. You will collaborate with world class research scientists and be afforded with necessary computational resources to expedite scientific research for target identification, disease mechanism understanding, patient stratification and clinical biomarker discovery through computational & data mining approaches. You will be an experienced computational biologist with deep knowledge and track record of functioning well in a cross-functional environment. You will support a workplace that embraces diversity, encourages teamwork and complies with all applicable regulatory and legislative requirements. This position will be located at 250 College Street, Toronto. Key Accountabilities:
Additional Info:
Please note: This full-time, permanent position is NOT part of any bargaining unit. Salary range: Competitive salary and benefits package. CAMH is a Tobacco-Free Organization CAMH is fully affiliated with the University of Toronto and is a teaching hospital and research institute. As a CAMH employee you will be expected to actively support CAMH’s teaching and research activities, in addition to supporting the clinical work of the hospital. As an employment equity employer CAMH actively seeks Aboriginal peoples, visible minorities, women, people with disabilities, (including people with who have experienced mental health and substance use challenges), and additional diverse identities for our workforce.[Click Here to Access the Original Job Post]
The Krembil Centre for Neuroinformatics is hiring world-leading specialists to transform our understanding of mental health by organizing, integrating, analyzing, visualizing and modelling data across all levels of the brain —from genes to circuits to behaviour. This multimodal data is gathered across the clinical environment including genetic, epigenetic, MRI, DTI, fMRI, hd-EEG, actigraphy and electronic medical record data. Teams will employ state-of-the-art techniques including topological data analysis, machine learning and multiscale computational modeling to accelerate identification and treatment of mental health disorders. Research is performed in an open, team science environment, with an emphasis on reproducible data-driven research and a patient-centric approach. A focus on global collaboration is key to transforming our understanding of mental health and its treatment. The centre will operate as an incubator for medical technologies to identify, manage and treat mental illness, while shaping policy at national and global levels. The Independent Scientist for Computational Genomics will build and lead a team of talented bioinformatics researchers, computational biologists, and computer scientists who employ and develop state-of-the-art genetic, epigenetic and transcriptomic analyses and predictive models to provide new insights into mental health and brain disorders in a data driven way, making outcome predictors and identifying optimal intervention opportunities. You have expertise in computational genetics, including the design, implementation and deployment of computational, statistical, predictive techniques and integration with multi-modal neuroscience and clinical datasets. You will lead this team in collaboration with clinical scientists to identify genes, pathways, cells and circuits operant in mental health and addictions through interrogation of complex multi-omics data sets. You will collaborate with world class research scientists and be afforded with necessary computational resources to expedite scientific research for target identification, disease mechanism understanding, patient stratification and clinical biomarker discovery through computational & data mining approaches. You will be an experienced computational biologist with deep knowledge and track record of functioning well in a cross-functional environment. You will support a workplace that embraces diversity, encourages teamwork and complies with all applicable regulatory and legislative requirements. This position will be located at 250 College Street, Toronto. Key Accountabilities:
- Leading a team of scientists and students your responsibilities include designing, implementing, and validating computational techniques and analytic approaches, for omics data, by;
- Collaborate with research & clinical scientists to conceive informatics analysis strategies and execute bioinformatics analyses that support discovery, such as new target identification and biomarker development.
- Providing oversight and leadership with respect to cutting edge approaches in analyses and interpretation of omics data, including high-throughput processing and quality control.
- Collaborate with software engineers to maintain and build computational infrastructure and pipelines.
- Identify relevant internal and external data and knowledge resources and execute integrated data mining analyses.
- Implementing standardized pre and post-processing pipelines for molecular data, in line with data provenance and data models to ensure data quality and long-term viability for re-use.
- Working with the Knowledge Engineering and Data Stewardship Teams on identifying and applying data models and data curation requirements.
- Working closely with and incorporating results from a team that is building a knowledge representation and reasoning framework.
- PhD in Computer Science, Bioinformatics, Statistical Genetics, Computational Biology, Population Genetics or related fields.
- Expertise in quality control, computational and statistical methodology, and analysis, of a wide spectrum of molecular datasets (targeted studies, genome-wide association studies, next generation sequencing, targeted sequencing, transcriptomics, proteomics, metabolomics, etc.).
- Three (3) years of relevant post-doctoral experience plus two (2) years of independent research and leading teams, mentoring scientists and managing inter-dependent research projects.
- Experience in applying machine learning algorithms to molecular data challenges.
- Experience with biobanking initiatives including data management and data collection.
- Interest in the study of the role of genetics and epigenetics in mental health and addictions.
- The candidate must have strong programming skills and demonstrated proficiency working with large datasets in distributed computing environments.
- The candidate must have demonstrated success developing genomic analyses, statistical methods, or machine learning models and algorithms, with applications for analysis of genomic and sequence data.
- Must obtain an academic appointment with the University of Toronto (appointment must remain active).
- Experience in fostering collaborations between diverse research and clinical groups (both internally and externally).
- Track record that demonstrates competence in publishing in high impact peer reviewed journals, obtaining funding from various sources, disseminating research at formal scientific meetings, and participation in the education and supervision of students and trainees.
- Extensive expertise with bioinformatics and neurogenetics applications.
- Experience integrating molecular and neuroimaging data, such as whole-brain expression atlases.
- Fluent in scientific scripting languages such as R, Perl/Python.
- Hands on experience in genomics and genetic database mining, data analyses using existing and custom pipelines are required.
- Knowledge in relevant tools and databases and experience in developing custom computational analysis pipeline leveraging these resources is highly preferred.
- Strong expertise with statistical programming, analyses and interpretation of findings.
- Extensive experience working with large-scale datasets, including pre and post-processing.
- Exposure to iSCAN and Illumina HighSeq technologies.
- Experience with qPCR assay design, WGS design is desirable.
- Bilingualism (French/English) and/or proficiency in a second language would be an asset.
Requeriments :
Skills :
- Bioinformatics Databases
- Genetics
- genomic
- Machine Learning
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- Statistics
- Transcriptomics
Areas :
Additional Info:
Please note: This full-time, permanent position is NOT part of any bargaining unit. Salary range: Competitive salary and benefits package. CAMH is a Tobacco-Free Organization CAMH is fully affiliated with the University of Toronto and is a teaching hospital and research institute. As a CAMH employee you will be expected to actively support CAMH’s teaching and research activities, in addition to supporting the clinical work of the hospital. As an employment equity employer CAMH actively seeks Aboriginal peoples, visible minorities, women, people with disabilities, (including people with who have experienced mental health and substance use challenges), and additional diverse identities for our workforce.[Click Here to Access the Original Job Post]