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Machine Learning Biomedical Engineer Jobs in Rochester, NY

Pwc

NGA AI Engineer Manager

Rochester, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Rochester, NY · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Stellantis

Technology Manager

Hopewell, NY · On-site

This role requires hands-on expertise in programming, systems integration, analytics, and the implementation of cutting-edge technologies such as artificial intelligence, machine learning, and ...

New

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

D3 Engineering

Engineering Program Manager

Rochester, NY · On-site

$101.10 - $146.70/hr

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or a related field. * Experience with autonomous/industrial robotic ...

New

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Innovative Solutions

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

New

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

New

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Rochester, NY

Machine Learning Biomedical Engineer information

See Rochester, NY salary details

$31.1K

$127.1K

$190.9K

How much do machine learning biomedical engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning biomedical engineer in Rochester, NY is $127,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $152,900.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Machine Learning Biomedical Engineer jobs in Rochester, NY? For Machine Learning Biomedical Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Rochester, NY look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Rochester, NY are:
Machine Learning Biomedical Engineer jobs near you

Quantitative Developer/Research Engineer

Citadel Enterprise Americas LLC

Rochester, NY • On-site

$250 - $350/hr

Other

Medical, Life, Retirement

Posted 3 days ago

New

Job description

Role Summary

At Citadel Securities, a leading global market maker, our team of Quantitative Developers and Research Engineers partner with Quantitative Researchers to create and implement automated trading system software solutions that leverage sophisticated statistical techniques and technologies.

Opportunities available in Miami, Chicago, London, New York, Hong Kong, Sydney, Singapore

Objectives
  • Design, develop, test, and deploy elegant software solutions for automated trading systems
  • Partner with the Quantitative Research team to define priorities and deliver custom software solution
Skills and Preferred Qualifications
  • A deep passion for technology, software development, and mathematics
  • Proficiency within one or more programming languages, including C++, Python, and R
  • Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
  • Exceptional quantitative and analytical skills
  • Bachelor’s, Master’s or PhD degree in Computer Science, Mathematics, Statistics, or equivalent experience
  • Strong written and verbal communications skills
  • Mandator

In accordance with applicable law, the base salary range for this role is $250,000 to $350,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax‑free savings plans, and access to other healthcare programs.

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