Math & Computational Scientist

Geisinger Health
Location: 
Danville, PA
Job Type: 
Full Time
Closing Date: 
Monday, October 22, 2018

Math & Computational Scientist

Geisinger’s Steele Institute for Health Innovation, in conjunction with the Department of Imaging Science and Innovation is seeking candidates for Math & Computational Scientist positions.

A successful candidate has a PhD with experience in machine learning, image processing and computational science and seeks to apply their skills to real-world clinical problems, particularly in medical imaging and electronic health record data. The individual will conduct and manage multiple research and innovation projects under the supervision of a faculty principal investigator (PI). These projects will leverage world-class data resources at Geisinger:

  • 20+ year longitudinal electronic health record encompassing over 1.8 million patients
    • Extensive longitudinal clinical data on population with low out-migration
  • 18+ year clinical image Picture Archiving and Communication System [PACS] 
    • 10 million radiological studies and 1.3 petabytes of clinical images
      • ~500k echocardiograms
      • ~400k abdominal CTs
      • ~200k brain MRIs
    • Fully accessible imaging archive
      • research PACS and automated image de-identification pipeline
  • GPU (DGX-1) resources and coding environment within the clinical network
  • Prospective genome project with rapidly growing exome sequence database
    • 200k consented, 130k sampled, 90k participants sequenced from large biobank
    • linked to the electronic health record and imaging data
    • clinical return of results program
  • Extensive healthcare claims database

Educational Requirement:  Ph.D. (Comp. Sci., Engineering, Biomedical Science, or related)

Specific Skills and Experience Required:

  1. Deep analytical skills with proficiency in theory and applications of machine learning and computational intelligence algorithms
  2. Prior experience in classification and pattern recognition algorithms
  3. Knowledge of data structures, and detection of signals/patterns within structured and unstructured data
  4. Experience in coding mathematical/scientific computing languages (e.g. Python, R, SQL)
  5. Ability to analyze large volumes of high dimensional datasets such as medical images and genomic and electronic patient data
  6. Excellent communication skills, both written and oral, ability to convey complex findings in a clear and compelling manner using data visualization techniques

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. Remote work may be available for an outstanding candidate.

If you would like to be considered for one of these positions, please submit your CV to alhaggerty@geisinger.edu