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Machine Learning Biomedical Engineer Jobs in Delaware

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Design and implement machine learning models and pipelines . * Participate in system and platform ... Mentor junior engineers and share best practices. * Make independent technical and design decisions.

We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85.10K - $104.60K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85.10K - $104.60K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

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Machine Learning Biomedical Engineer information

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What are popular job titles related to Machine Learning Biomedical Engineer jobs in Delaware? For Machine Learning Biomedical Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Delaware look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Biomedical Engineer jobs? Cities in Delaware with the most Machine Learning Biomedical Engineer job openings:
Software Engineer

Software Engineer

Epic

Middletown, DE • On-site

Full-time

Posted 17 days ago


Job description

Job Summary:
Epic is a leading healthcare technology company that develops software impacting millions of patients globally. As a software developer, you will utilize modern methodologies and technologies to innovate and enhance healthcare solutions.
Responsibilities:
• Write software that impacts the lives of 325 million patients around the world.
• Use modern development methodologies and employ user-centered design, analytics, and machine learning tools to drive innovation in healthcare.
• Invent better ways to reduce medical errors, streamline record sharing between hospitals, and provide the quality of care a patient deserves.
Qualifications:
Required:
• Relocation to the Madison, WI area (Reimbursed)
• BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field
• A history of academic excellence or professional success
• Eligible to work in the United States without visa sponsorship (persons with appropriate qualifications and eligible for TN status under NAFTA may apply)
• COVID-19 vaccination
Company:
Epic develops healthcare software that helps people get well, stay well, and help future generations be healthier. Founded in 1979, the company is headquartered in Verona, USA, with a team of 10001+ employees. The company is currently Late Stage.