Staff Data Scientist at GE Healthcare

Chicago, Illinois, United States

GE Healthcare Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
NoVisa
Healthcare, Medical Imaging, SaaSIndustries

Requirements

  • Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math); Master’s or PhD is advantageous
  • Minimum of 6 years of professional experience in AI product development
  • Demonstrated skill in data management methods
  • Demonstrated skill in feature extraction and real-time analytics development and deployment
  • Demonstrated skill in prescriptive analytics and analytic prototyping
  • Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, and OpenCV
  • Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models
  • Experience with model optimization for latency and throughput in online systems
  • Experience with large-scale CNNs, vision transformers, and self-supervised learning
  • Experience with the full AI lifecycle, including data curation, model development, and model validation for production
  • Proven ability to collaborate with ML engineers to integrate models into production
  • Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code
  • Experience in medical device development is considered a strong asset
  • Legal authorization to work in the U.S. (no OPT or sponsorship)

Responsibilities

  • Work with customers to capture data and analytics requirements
  • Develop, verify, and validate analytics to address customer needs and opportunities
  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods
  • Work with data engineers on data quality assessment, data cleansing, and data analytics
  • Generate reports, annotated code, and other project artifacts to document, archive, and communicate your work and outcomes
  • Communicate methods, findings, and hypotheses with stakeholders

Skills

Machine Learning
Statistical Methods
Data Analysis
Computer Vision
AI
Operational Research
Semantic Analysis
Python
Algorithms
Analytics Development

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters
1892Year Founded
N/ACompany Stage
Data & Analytics, HealthcareIndustries
10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.
Regulatory challenges may delay AI application expansions in healthcare.
Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.
The company supports over 300,000 patients daily with its healthcare technologies.
GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.
Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.
Collaboration with Wayra accelerates digital health innovation in EMEA.

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