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Geisinger Health Systems: Project Scientist: Computational Graph Theory


This position offers an opportunity for an early career mathematician/computational scientist to develop into a multidisciplinary specialist with exposure to medical data and research workflow of a healthcare organization.



Geisinger Health Systems At: Geisinger Health Systems
Location: Danville, PA
Web: www.geisinger.com


Geisinger Division of Applied Research and Clinical Informatics (DARCI), Department of Data Science is seeking a project scientist with a strong background in applied mathematics or computer science, with focus in computational graph theory (specifically spectral methods) and active interest in biomedical data analysis.

In preliminary studies, we have developed graphical representations of complex heterogeneous clinical / phenotypic data including patient interactions, progression of diseases, and individual phenotypic and molecular characteristics of patients. The project scientist will perform further research and development on medical data represented as graphs, with special attention paid to class discovery and personalized predictive applications.

This position offers an opportunity for an early career mathematician/computational scientist to develop into a multidisciplinary specialist with exposure to medical data and research workflow of a healthcare organization. The position will require significant interaction with end users of the several graph-based tools that the project scientist is developing.

Duties and responsibilities:
  • Interact with subject matter experts to define the contents and metrics of proximity of graphs representing medical data
  • Write robust code for construction of graph representations of medical data
  • Implement summarization/visualization/validation on graphs.
  • Develop algorithms for clustering, coarsening/refinement, feature detection, optimization on graphs. Spectral methods will be emphasized.
  • Contribute to academic publications in medical informatics, with focus on personalized medicine and obesity studies.
  • General requirements:
  • Besides academic coursework and practical experience in computational graph theory, a qualified candidate should have general familiarity with methods and tasks of predictive analytics/machine learning, statistics and numerical optimization methods. Some direct experience with spectral methods in graph analytics is strongly preferred.

Preferred skills:
  • An interest in working collaboratively in a team of physicians, computer scientists, and programmers.
  • Positive and enthusiastic attitude.
  • Fluency writing and speaking the English language.

Software/programming requirements:
  • Experience with standard scientific computing languages: Matlab, R, Python, Sage, SPSS, etc.
  • Experience with some of the commonly used programming languages, including scripting languages: C++, Java, Ruby, Perl.

Educational requirement:
  • MS or PhD in applied mathematics, engineering, computer science, or physics is required.
  • Work status: An applicant must be approved to work in the United States; we will consider extremely qualified applicants in need of visa support.

_Contact_:
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** Does not qualify for J-1 waiver. We are an Affirmative Action, Equal Opportunity Employer Women and Minorities are encouraged to Apply. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.

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