University of Pennsylvania-posted 3 months ago
$66,000 - $82,000/Yr
Entry Level
Philadelphia, PA
5,001-10,000 employees
Educational Services

The Baslan Lab is looking for a computational analyst to join our multidisciplinary team of researchers. The experienced analyst is expected to engage in research, independently and in collaboration with members of the group, by analyzing multi-model datasets, including next generation sequencing data, and developing novel analytics, including machine learning approaches. Responsibilities of the position include but are not limited to: (1) processing and analyzing large genomic datasets using supervised and unsupervised learning methods & (2) developing novel algorithmic approaches to advance diagnostic, prognostic, and treatment strategies in cancer. In addition, the individual will be asked to develop computer programs for distribution to the research community as well as management of datasets, including sequencing data.

  • 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).
  • Other duties and responsibilities as assigned.
  • Master of Science in mathematics, physics, computer science, or bioinformatics and 3 to 5 years of experience or equivalent combination of education and experience is required. Ph.D. preferred.
  • 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.).
  • Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits.
  • Tuition assistance for employees, spouses, and dependent children.
  • Generous retirement plans including Basic, Matching, and Supplemental retirement plans.
  • Substantial time away from work for personal needs.
  • Long-term care insurance for faculty and staff and eligible family members.
  • Wellness and work-life resources to support health and balance.
  • Professional and personal development resources.
  • Access to University resources and cultural activities.
  • Discounts and special services for faculty and staff.
  • Flexible work options for work-life balance.
  • Forgivable loan for eligible employees interested in home ownership.
  • Adoption assistance for qualified expenses related to legal adoption.
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