Staff Data Scientist
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
Womens Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo) Digital Breast Tomosynthesis (DBT) and X-ray devicestransforming hardware into intelligent platforms that deliver enhanced clinical and operational value.The Staff Data Scientist will work in teams addressing statistical machine learning and data understanding problems in a commercial technology and consultancy development this role you will contribute to the development and deployment of modern machine learning operational research semantic analysis and statistical methods for finding structure in large data project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision robotics and intelligent control to coordinate imaging tasks.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition turn ideas into world-changing realities and join an organization where every voice makes a difference and every difference builds a healthier world.
Job Description
Roles and Responsibilities
As a Staff Data Scientist you will be part of a data science or cross-disciplinary team on commercially-facing development projects typically involving large complex data sets. These teams typically include statisticians computer scientists software developers engineers product managers and end users. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors financial portfolio risk assessment and operations optimization.
In this role you will:
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 projects artifacts to document archive and communicate your work and outcomes.
Communicate methods findings and hypotheses with stakeholders.
Education Qualification
Bachelors Degree or Masters or PhD in Computer Science or STEM Majors (Science Technology Engineering and Math) with a minimum of 8 Years of experience in AI product development.
Desired Characteristics
Technical Expertise:
Demonstrated skill in data management methods
Demonstrated skill in feature extraction and realtime analytics development and deployment
Demonstrated skill in prescriptive analytics and analytic prototyping
Specific skills include:
Proficiency in python and deep learning frameworks such such a Tensorflow PyTorch and openCV
Expertise 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 Primary focus on writing production-quality maintainable code.
Experience with multimodal data integration and systems combining images video and speech is highly desired.
Experience with cloud computing platform such as AWS or Azure is highly desired.
Experience working with robotic simulation is desired.
Domain Knowledge:
Experience in medical device development is considered a strong asset.
Experience in medical imaging AI development is highly desired
Background in robotics or automation technologies is advantageous.
Background in automated vehicle or robotic guidance is highly desired
Demonstrated skill in defining and delivering customer value in these areas
Leadership:
Demonstrated skill at working in a team setting
Demonstrated skill in critical thinking and problem solving methods
Demonstrated skill in presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
#LI-AM11
#LI-Hyrbid
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Additional Information
Relocation Assistance Provided: No
Required Experience:
Staff IC
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients
