PostDoctoral Fellow, Computational Oncology

Sage Bionetworks

Company Type

Sage Bionetworks is currently recruiting for a computational biology postdoctoral fellow with an interest and background in cancer research. This position presents the opportunity to focus on a diverse set of questions in cancer. Ideal candidates will have a background in pre-clinical and translational medicine, and an appreciation of efforts to incorporate `omics’ data into clinical practice.

Specific Responsibilities Include

  • Design and develop research projects from inception to publication in various cancer domains including:

    • Prognostic modeling of patient outcomes
    • Predictive modeling of drug response
    • Analysis of functional screen data, e.g. drug response, siRNA,
    • Integrative genomic modeling
    • Design and develop algorithms for interrogating and interpreting complex genomic data.
  • Interact with large cancer systems biology research consortia to ask novel questions spanning the data collected by each individual research group.
  • Work closely with Sage and DREAM scientists to develop DREAM Challenges around impactful questions in cancer research.

Basic Qualifications

  • Candidate will hold a Ph.D. in computer science, bioinformatics, or related quantitative discipline.
  • Experience working with high dimensional genomic data, such as sequencing data, gene expression, genotype, CNV, sequence and/or data from other high throughput biological technologies.
  • Demonstrated excellence in research with evidence of advancing an area of computational biology.
  • An understanding of advanced machine learning or statistical techniques, such as probabilistic graphical models, Bayesian inference, and optimization methods.

Additional Skills/Preferences

  • Software development experience, including strong programming skills in a high level language such as Python, R, or Java.
  • A passion for open-access innovation.
  • Strong collaboration, teamwork, and communication skills.
  • A desire to change the world and contribute to the elimination of human disease.
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Confirmed 6 hours ago. Posted 30+ days ago.

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