We are seeking a computational biology postdoctoral fellow to analyze large-scale genomics datasets to infer molecular mechanisms underlying the differentiation of stem and progenitor cells. The candidate should possess strong computational and analytical skills, as well as a desire to work in a multi-disciplinary team. The candidate is expected to lead original research projects advancing new directions at the cutting-edge of stem cell biology.
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.
We are leading a national effort to build an integrated data and analysis portal serving as a Bioinformatics Core facility for the NHLBI-funded Progenitor Cell Biology Consortium (PCBC). By serving as the central analytic resource for one of the largest stem cell focused efforts in the world, we expect the PCBCBioinformatics Core will become a central computational resource for the stem cell research community.
Specific responsibilities include:
• Develop and implement predictive models of stem cell phenotypes through integrative analysis of high-dimensional genomic data.
• Develop statistical and machine learning approaches to combine information from diverse data types and prior knowledge derived from related experiments and biological databases.
• Work with investigators in the PCBC, as well as Sage Bionetworks scientists and software engineers, to leverage data and analysis tools developed by the Bioinformatics Core in original research projects.
• Work with software development team to implement scalable cloud-enabled workflows to disseminate novel analytical tools and methodologies to the research community through the Bioinformatics Core.
• Assist in experimental design to validate computational predictions.
• Foster and maintain collaborations with experimental researchers.
• Publish computational innovations and research discoveries in leading journals.
• Develop grant proposals for original research projects.
Required qualifications:
• Ph.D. degree in bioinformatics, computer science, applied mathematics, or relevant quantitative scientific discipline.
• Demonstrated excellence in research with evidence of advancing an area of computational biology.
• Strong publication record.
• Experience analyzing high-throughput genomics data, including DNA or RNA sequencing, gene expression, epigenetics, and SNP array data.
• An understanding of advanced machine learning or statistical techniques, such as probabilistic graphical models, Bayesian inference, and optimization methods.
• A desire to change the world and contribute to the elimination of human disease.
Desirable qualifications:
• Professional software development experience, including strong programming skills in a high level language such as Python, R, or Java.
• Strong communication and organization skills.
• A passion for open-access innovation.
Sage Bionetworks, www.sagebase.org, is a medical research organization building advanced predictive models of disease. Sage offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team.
To apply for this position, please send your CV and cover letter to: compbio@sagebase.org.
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