Research Intern
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
8 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
Were looking for undergraduate science major students preferably from biology statistics or computer science with strong statistical and computational skills who are passionate about applying data science and quantitative methods to advance medicine and healthcare. You will work with leading researchers and domain experts to analyze complex biological and clinical datasets contribute to cutting-edge research and support the development of next-generation data-driven solutions in healthcare.Our research agenda includes but is not limited to:
Analysis of large-scale biological and clinical datasets (e.g. genomics medical imaging electronic health records)
Application of statistical modeling and machine learning to understand disease mechanisms and progression
Integration of multimodal data for improved diagnosis patient stratification and outcome prediction
Data-driven approaches to support clinical decision-making and healthcare efficiency
Reproducible and responsible data science (e.g. interpretability robustness and bias awareness)
Job Description
Key Responsibilities:
- Analyze large-scale biological and healthcare datasets using statistical and computational methods
- Apply statistical modeling techniques and where appropriate machine learning approaches to support research questions
- Contribute to the design and development of machine learning models (including exposure to deep learning and LLM-based approaches) to support automation of clinical or research tasks using data such as medical images electronic health records waveforms and clinical reports
- Write and maintain code in R and/or Python for data cleaning transformation analysis and visualization
- Perform statistical validation error estimation and interpretation of model and analysis results across diverse datasets
- Assist in building prototypes and reproducible workflows that support scalable high-quality research and algorithm development
- Collaborate with researchers to translate biological and clinical questions into quantitative analyses and data-driven solutions
- Support the exploration and evaluation of new methodologies tools and technologies in data science machine learning and healthcare applications
- Contribute to preparation of research outputs including visualizations reports and potential publications
Basic Qualifications:
- Currently enrolled in a Bachelors degree in Biology Biostatistics Bioinformatics or a related field
- Strong foundation in statistics (e.g. hypothesis testing regression data analysis)
- Proficiency in R and/or Python for data analysis
- Familiarity with at least one area of machine learning concepts such as Computer Vision Deep Learning or Algorithmic Foundations of Optimization
- Experience working with large datasets and data wrangling techniques
- Ability to interpret and communicate quantitative results in a biological or clinical context
- Strong problem-solving skills and ability to work under research supervision
Preferred Qualifications:
- Exposure to machine learning or AI concepts (e.g. classification clustering predictive modeling)
- Familiarity with biological or clinical data types (e.g. genomics imaging EHR data)
- Experience with data visualization tools (e.g. ggplot2 matplotlib seaborn)
- Knowledge of reproducible research practices (e.g. version control scripting workflows)
- Interest in contributing to research publications or presentations.
At GE HealthCare we are committed to bringing AI and cloud-based solutions for our customers: all aspects of intelligent computing services across the cloud and. Sitting within the centralized Science & Technology organization our AI org is harnessing the power of AI to make healthcare more precise more personalized and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - were committed to leading digital transformation improving outcomes for patients and providers and creating a world where healthcare has no limits.
As an AI research intern at GEHC you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data state of the art computing resources and professional support from domain experts.
The pay rate for this position is $45-57hr.
We will not sponsor individuals for employment visas now or in the future for this job opening.Additional Information
GE HealthCare offers a great work environment professional development challenging careers and competitive compensation. GE HealthCare is anEqual Opportunity Employer. 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.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
Required Experience:
Intern
Key Skills
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients
