Sage Bionetworks is a world-leading, nonprofit, biomedical research organization dedicated to: (1) developing predictive models of disease-related phenotypes through integrative analysis of large-scale genomic data sets; (2) building and supporting an open source compute platform and database to more effectively harness genome-scale data by enabling disease models to be evolved by contributor scientists with a shared vision to accelerate the elimination of human disease.

In this position, you will have access to region-specific brain transcriptional data and genome-wide genotype data from >500 brains including >250 schizophrenia brains (commonmind.org) as well as large Alzheimer’s datasets. Ability to analyze these and similarly large genomic datasets from the perspective of multiple types of data-driven and literature-based molecular networks is key to success and rapid publications with the team at Sage Bionetworks. We are also engaged in multi-modal neuroscience projects including analysis of structural and functional imaging in neurodegenerative diseases. Applicants are encouraged to contribute to these efforts and to develop their own network-based methodologies and disease applications. Ability to multi-task between your independent research while rapidly responding to the needs of our pharmaceutical partners is expected (50/50 time split). This position is unusual in that you will have a high-degree of independence and will be expected to make well-informed (both biologically and methodologically) strategic decisions on analysis of large genomic neuroscience datasets.

Required Qualifications:

• Ph.D. degree in computer science, math, bioinformatics, or relevant quantitative scientific discipline. 

• 2 years of relevant work experience analyzing high-throughput genomics data.

Required Skills:

• Domain knowledge of schizophrenia and Alzheimer’s disease

• Proficiency in MATLAB and R

• Familiarity with graph theoretic concepts and algorithms

• Demonstrated ability to analyze large microarray and RNAseq datasets

• Ability to communicate advanced genomic and mathematical concepts to a broad audience

• Track record of innovative publications in neuroscience research

• Track record of innovative methodological approaches to high-dimensional data

Desirable Skills:

• C++, perl and python

• High-performance computing

• Whole-genome sequence analysis

• Functional and structural neuroimaging analysis

• Dynamical systems and time-series analysis, particularly of neuronal systems

• Methylation array analysis

Sage Bionetworks offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team. Compensation level is flexible, depending on level of experience and expertise. To apply for this position, please contact: systems@sagebase.org.

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