Job Description:
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:
Additional Info:
Sage Bionetworks is a leading nonprofit biomedical research organization dedicated to developing predictors of disease and accelerating biomedical research through open systems, incentives, and standards. We were recently ranked as the 2nd best place to work in academia in a worldwide survey. We invite you to be a part of our revolutionary research in Seattle’s South Lake Union neighborhood. www.sagebase.org[Click Here to Access the Original Job Post]
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.
- 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.
- 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.
Requeriments :
Skills :
- Computational Biology
- Machine Learning
- Modeling
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in R
- Software Design
- Statistics
- Systems Biology
Areas :
Additional Info:
Sage Bionetworks is a leading nonprofit biomedical research organization dedicated to developing predictors of disease and accelerating biomedical research through open systems, incentives, and standards. We were recently ranked as the 2nd best place to work in academia in a worldwide survey. We invite you to be a part of our revolutionary research in Seattle’s South Lake Union neighborhood. www.sagebase.org[Click Here to Access the Original Job Post]