The Baslan Lab at the University of Pennsylvania is looking for a computational analyst to join their multidisciplinary team of researchers to analyze multi-model datasets, including next generation sequencing data, and develop novel analytics, including machine learning approaches, to advance diagnostic, prognostic, and treatment strategies in cancer.
Requirements
- Experience and expertise in analyzing next generation sequencing data with publications in the field
- Experience in computer programming languages commonly used in biomedical research labs (R, Python, C+)
- Experience in machine learning approaches (ex: NN, NMF, etc.)
- Master of Science in mathematics, physics, computer science, or bioinformatics
- Ph.D. preferred
- 3 to 5 years of experience or equivalent combination of education and experience
- Experience in developing novel analytics, including machine learning approaches
Responsibilities
- Develop novel algorithms to analyze next generation cancer sequencing datasets.
- Apply machine learning tools to build classifiers and predictors of disease and therapy in cancer.
- Establish & maintain working analytical pipelines for the analysis of large genomic datasets.
- Develop data management solutions and analysis code (e.g. computer programs)
- Process and analyze large genomic datasets using supervised and unsupervised learning methods
- Develop novel algorithmic approaches to advance diagnostic, prognostic, and treatment strategies in cancer
- Develop computer programs for distribution to the research community as well as management of datasets, including sequencing data
Other
- Master of Science degree required, Ph.D. preferred
- 3 to 5 years of experience or equivalent combination of education and experience
- Background checks may be required after a conditional job offer is made
- Must be eligible to work in the United States
- Must be willing to work in Philadelphia, Pennsylvania
