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Machine Learning Biomedical Engineer Jobs in Connecticut

Lancesoft

Scientist II

Ridgefield, CT · On-site

$38 - $40.31/hr

Duties: Develop and optimize image analysis pipelines for 2D and 3D biomedical images. Perform ... programming languages (R, Python) and have experience applying machine learning techniques ...

Sigma Systems, Inc.

Scientist

Ridgefield, CT · On-site

Develop and optimize image analysis pipelines for 2D and 3D biomedical images. * Perform ... programming languages (R, Python) and have experience applying machine learning techniques ...

New

Aequor

Duties: • Develop and optimize image analysis pipelines for 2D and 3D biomedical images. • ... programming languages (R, Python) and have experience applying machine learning techniques ...

System One Holdings, LLC

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Develop and optimize image analysis pipelines for 2D and 3D biomedical images. * Perform ... Proficiency in scientific programming languages (R, Python). * Experience applying machine learning ...

TalentBurst, Inc.

Scientist II

Ridgefield, CT

Develop and optimize image analysis pipelines for 2D and 3D biomedical images. * Perform ... programming languages (R, Python) and have experience applying machine learning techniques ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105.90K - $143.90K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

Deloitte

AI Solutions Leader

Hartford, CT

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Solutions Leader

Stamford, CT · On-site

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

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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 Connecticut? For Machine Learning Biomedical Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Connecticut look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Learning Biomedical Engineer jobs? Cities in Connecticut with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you

Cardiac CT Image Analyst

Caristo Diagnostics

Stamford, CT

Other

Posted 12 days ago

Job description

Cardiac CT Image Analyst - Biomedical Imaging / AI Diagnostics
About Caristo Diagnostics
Caristo Diagnostics is a global leader in AI-powered cardiovascular imaging and biomedical diagnostics. A spinout from the University of Oxford, Caristo's award-winning technology uses artificial intelligence (AI) to transform cardiac CT imaging into a tool for early detection of heart disease. By analyzing routine medical images to identify hidden
inflammation and plaque, Caristo enables clinicians to predict heart attack risk before symptoms appear.
Our flagship CaRi-Heart® and CaRi-Plaque™ technologies have been featured in The Lancet, JACC, and the European Heart Journal, and Cardiovascular Research
CaRi-Plaque™ is now FDA-approved for clinical use in the U.S. Learn more at caristo.com.
Position Summary
We are seeking a Cardiac CT Image Analyst with a background in biomedical science, medical imaging, radiology, or life sciences to join our expanding Image Analysis team in Stamford, Connecticut. You'll collaborate closely with colleagues in both the U.S. and the U.K., analyzing cardiac CT datasets using Caristo's proprietary AI imaging software.
This position is ideal for someone excited by AI-driven healthcare innovation, quantitative image analysis, and the opportunity to shape the future of cardiovascular diagnostics. A comprehensive training program will be provided.
Key Responsibilities

  • Analyze cardiac CT images and medical imaging data using Caristo's AI-based software in accordance with company SOPs.
  • Manage and process patient imaging data securely and accurately.
  • Provide timely support to internal and external stakeholders, including physicians and researchers.
  • Identify and flag cases that are non-analyzable due to technical or clinical limitations.
  • Support the development of internal standard operating procedures (SOPs) for image analysis workflows.
  • Participate in risk management activities for new medical device development.
  • Contribute to ongoing research projects (e.g., ground-truth data generation for machine learning).
  • Provide feedback for AI model improvements and software testing.
Required Skills and Experience
Essential:
  • Associate or Bachelor's degree in biomedical science, medical technology, radiology, life sciences, or a related field (e.g., digital health, public health, biomedical engineering).
  • Strong analytical skills and attention to detail.
  • Excellent communication and data interpretation abilities.
  • Proficiency with Microsoft Office, particularly Excel and database management.
  • Strong organizational skills and ability to prioritize multiple tasks.
  • Enthusiasm for medical imaging, AI, and healthcare innovation.
Desirable:
  • Experience with DICOM images, image segmentation, or quantitative data analysis.
  • Familiarity with Python, MATLAB, or similar data analysis tools.
  • Experience in a clinical, radiology, or biomedical research setting.
  • GCP certification and/or understanding of clinical research standards.
  • Exposure to AI/ML-based imaging platforms or digital diagnostics.
Why Join Caristo
  • Be part of a global medical technology company transforming cardiac care through AI and imaging innovation.
  • Join the founding U.S. team and contribute to our FDA-approved product rollout.
  • Work in a collaborative, mission-driven environment that values integrity, innovation, quality, and impact, and which supports personal growth.
  • Share the company values of pushing the boundaries, taking ownership, caring for each other and being candid and professional.
  • Competitive salary and benefits package.
Location
Stamford, Connecticut (on-site position)
Equal Opportunity
Caristo Diagnostics is committed to diversity and inclusion. We encourage applications from all qualified individuals, including those seeking to take the next step in their career.
Suggested Indeed Skills Tags
  • Biomedical Imaging
  • Cardiac CT
  • AI Imaging
  • Image Analysis
  • Medical Imaging
  • Radiology
  • DICOM
  • Data Analysis
  • Machine Learning
  • Python
  • MATLAB
  • Healthcare Technology
  • Cardiovascular Imaging
  • Quantitative Analysis
  • Medical Device
  • FDA-approved Technology
  • Life Sciences
  • Biomedical Research
  • Clinical Data
  • Digital Health

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