General Electric

GE Healthcare - Senior Data Scientist

  • Experience 5-10 Years
  • Category Data Science
  • Location San Ramon, CA

Job Description

This is an opportunity to join a team that is working to revolutionize healthcare. As an early member of the team you will play a significant role in leading that charge. You can be one of the first experts to have ever tackled these problems. The novel work you perform will have a meaningful impact on worldwide medical practices. You will have the opportunity to partner with world-leading clinicians on a regular basis and lead the creation of new diagnostic models.



  • Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.
  • Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms and clinical reports.
  • Design and implement scene labeling techniques for medical images
  • Design and implement image preprocessing and alignment algorithms
  • Hyper parameter optimization
  • Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
  • Write technical reports summarizing development, analysis, training and validation of the algorithms
  • Provide design input specifications, requirements, and guidance to software engineers for algorithm implementation for product development
  • Collaborate with team members and external experts
  • Provide presentations to the management and cross-functional teams
  • Stay up-to-date in the field of machine . Apply new technologies in development of products



Ph.D. in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a minimum of 2 years applicable professional experience; OR MS in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a minimum of 5 years applicable professional experience; OR a BS in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a great proven track record with a minimum of 8 years applicable professional experience

Desired Characteristics:

Technical Expertise:

  • Have completed graduate-level coursework in statistics
  • Experimental design experience
  • Technical proficiency in languages such as R, Python, C++, Java, etc.
  • Experience with medical imaging analysis leveraging methodologies using GPUs
  • Hands-on advanced proficiency in handling and analyzing large data sets such as medical imaging data.
  • Extensive experience with neural network libraries such as Caffe, Keras, Tensorflow, Torch etc.
  • Expertise in broader machine techniques
  • Excellent written communication, verbal communication and presentation skills are required.
  • Experience with big data technologies and HPC such as the Hadoop, Spark, Hive, Hbase etc.
  • Experienced with the information technology aspects of data collection, organization, and integration
  • knowledge in optimal computational environment required for data processing, data mining and machine
  • Software applications development experience
  • Experience working with biomedical non-imaging data

    Business Acumen:

  • Understands the competitive landscape, regulatory marketing, etc.
  • Articulates clearly the main industry dynamics. Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industry


  • Have participated in competitions (e.g., Kaggle)
  • Experienced in writing peer-reviewed scientific manuscripts
  • Uses teamwork skills to achieve goals, solve problems, and manage conflict. Understands individual differences
  • Systematically breaks problems into component parts. Identifies a successful solution and quantifies the associated risks/outcomes of the solution

    Personal Attributes:

  • Can ask appropriate questions needed to translate an abstract problem into a quantifiable analysis for identifying solutions. Seeks out processes and ideas that are out of the norm.
  • Identifies when additional information is needed from customer/manager and ask cogent and relevant questions to obtain it.
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