1

Machine Learning Biomedical Engineer Jobs in Frederick, MD

... biomedical informatics, and data science applications. They are seeking an AI/ML Scientist ... Responsibilities : • The successful candidate will design and implement machine learning models ...

With experts in biomedical science, software engineering, and program management, we focus on ... The successful candidate will design and implement machine learning models that predict organoid ...

AI/ML Scientist/Developer

Frederick, MD · On-site

$115K - $130K/yr

With experts in biomedical science, software engineering, and program management, we focus on ... The successful candidate will design and implement machine learning models that predict organoid ...

With experts in biomedical science, software engineering, and program management, we focus on ... The successful candidate will design and implement machine learning models that predict organoid ...

With experts in biomedical science, software engineering, and program management, we focus on ... or machine learning applications * Implement best practices for workflow versioning ...

With experts in biomedical science, software engineering, and program management, we focus on ... or machine learning applications * Implement best practices for workflow versioning ...

With experts in biomedical science, software engineering, and program management, we focus on ... or machine learning applications * Implement best practices for workflow versioning ...

PhD in computer science, computational biology, bioinformatics, biomedical informatics, NLP, machine learning, data science, or a related field. * Strong Python programming skills. * Demonstrated ...

... biomedical informatics, and data science applications. They are seeking a Bioinformatics Engineer ... machine learning applications • Implement best practices for workflow versioning ...

With experts in biomedical science, software engineering, and program management, we focus on ... Statistical Modeling and Machine Learning: Apply statistical and ML methods -- including hypothesis ...

With experts in biomedical science, software engineering, and program management, we focus on ... Statistical Modeling and Machine Learning: Apply statistical and ML methods - including hypothesis ...

With experts in biomedical science, software engineering, and program management, we focus on ... Statistical Modeling and Machine Learning: Apply statistical and ML methods - including hypothesis ...

Sr AI/ML Engineer

Hagerstown, MD · On-site

$103K - $142K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

With experts in biomedical science, software engineering, and program management, we focus on ... You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and ...

With experts in biomedical science, software engineering, and program management, we focus on ... You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and ...

next page

Showing results 1-20

Machine Learning Biomedical Engineer information

See Frederick, MD salary details

$31.3K

$128K

$192.4K

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

As of Jul 13, 2026, the average yearly pay for machine learning biomedical engineer in Frederick, MD is $128,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,100.00 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 Frederick, MD? For Machine Learning Biomedical Engineer jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Frederick, MD look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Machine Learning Biomedical Engineer jobs? Cities near Frederick, MD with the most Machine Learning Biomedical Engineer job openings:
AI/ML Scientist/Developer

AI/ML Scientist/Developer

Axle

Frederick, MD • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking an AI/ML Scientist/Developer to develop innovative computational models to predict and optimize organoid growth and differentiation protocols.
Responsibilities:
• The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
• They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
• The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
• Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.
Qualifications:
Required:
• Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
• Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.
Preferred:
• Experience with organoid systems or tissue engineering applications is highly desirable.
• Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
• Familiarity with cloud computing platforms and containerization technologies is preferred.
Company:
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions. Founded in 2002, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.