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Drug Discovery Data Scientist (NCI)

at Leidos

Posted: 10/2/2018
Job Reference #: 662402
Keywords: technology

Job Description

PROGRAM DESCRIPTION

The mission of the Biomedical Informatics andData Science Directorate (BIDS) is to leverage leading-edge data science andinformation technology skills and capabilities to provide the best tools andservices to accelerate translation of biomedical data to scientificdiscoveries, medical treatments, and diagnostic and prevention tools for cancerand AIDS patients.

The BIDS Strategic and Data Science InitiativesGroup has a focus to establish new collaborations in computing and data scienceto address cancer challenges and accelerate cancer research. The group'sefforts include developing the capacity within the NCI intramural researchcommunity to increasingly employ high-performance computing, as well asestablishing a longer-term direction and path forward for broader NCI,academic, government, and private industry participation in predictiveoncology.

The Accelerating Therapeutics for Opportunitiesin Medicine (ATOM) Consortium is a public-private partnership with the missionof transforming drug discovery by accelerating the development of moreeffective therapies for patients.  ATOMfounding members are GSK, Lawrence Livermore National Laboratory, FrederickNational Laboratory, and the University of California, San Francisco.  The ATOM consortium members will develop,test, and validate a multidisciplinary approach to drug discovery in whichmodern science, technology and engineering, supercomputing simulations, datascience, and artificial intelligence are highly integrated into a singledrug-discovery platform that can ultimately be shared with the drug developmentcommunity at large. 

Frederick National Laboratory is hiring a DrugDiscovery Data Scientist to work in computationally-driven cancer drugdiscovery as part of the ATOM Consortium.  This position is based in San Francisco, California.

KEYROLES/RESPONSIBILITIES

Data Scientist III

  • Use and/or develop machine learning packages totrain, deploy and interpret various algorithms such as random forests and deepneural networks
  • Develop and implement methods to assess thepredictivity and uncertainty of such models
  • Be able to work independently as part of amulti-disciplinary team to support the ATOM Consortium scientific and technicalgoals
  • Create and maintain strong professionalrelationships with all ATOM stakeholders
  • Foster and nurture collaborative workenvironment



Qualifications

BASIC QUALIFICATIONS

  • Possession of a Bachelor's degree in ComputerScience, Math or Biomedical Science related field from an accredited college oruniversity according to the Council for Higher Education Accreditation (CHEA).(Additional qualifying experience may be substituted for the required education).Foreign degrees must be evaluated for U.S. equivalency.
  • In addition to the educational requirements aminimum of six (6) years of related experience OR possession of a Master'sdegree in Computer Science, Math or Biomedical Science related field from anaccredited college or university plus minimum of 4 years relatedexperience. 
  • Experience in data-driven modeling required
  • Familiarity with large datasets, handling ofbiomedical datasets and understanding of data analysis workflows is required
  • Must be able to obtain and maintain a securityclearance

PREFERREDQUALIFICATIONS

  • Experience with Tensor Flow, Keras or similardeep learning packages
  • Experience with active learning
  • Experience with complex chemical and/orbiological data sets
  • Experience with collaborative programmingprojects
  • Familiarity with drug discovery and/or cancerbiology
  • 1-year experience in a leadership capacity

Expected Competencies:

  • Proficiency with Python or similar programminglanguage(s)
  • Analytical approach to defining scientificquestions/design of scientifically testable hypotheses
  • Must be detail-oriented and possess strongorganizational and analytical skills with the ability to prioritize multipletasks/projects
  • Exceptional written and oral communicationskills