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Biomedical Machine Learning Jobs in New York (NOW HIRING)

... biomedical engineering, applied mathematics, or a related technical field; or a bachelors degree with at least one year of relevant work experience Strong foundation in machine learning, statistics ...

... biomedical engineering, applied mathematics, or a related technical field; or a bachelors degree with at least one year of relevant work experience Strong foundation in machine learning, statistics ...

Research Engineer

Manhattan, NY ยท On-site

$84K - $90K/yr

... biomedical engineering, applied mathematics, or a related technical field; or a bachelors degree with at least one year of relevant work experience Strong foundation in machine learning, statistics ...

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Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for biomedical machine learning in New York is $31.21, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $35.24 per hour, depending on experience, location, and employer.

How to become a biomedical machine learning specialist?

To become a biomedical machine learning specialist, individuals typically need a strong background in computer science, machine learning, and biology, often obtained through a bachelor's or master's degree in related fields. Gaining experience with programming languages like Python or R, and tools such as TensorFlow or PyTorch, is essential, along with understanding biomedical data and clinical applications. Advanced roles may require a Ph.D. or specialized certifications in machine learning or biomedical informatics.

What is a biomedical machine learning?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a biomedical machine learning do?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in biomedical machine learning, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in New York? The most popular types of Biomedical Machine Learning jobs in New York are:
Infographic showing various Biomedical Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $64,912 per year, or $31.2 per hour.

Cardiac CT Image Analyst

Caristo Diagnostics

Stamford, CT โ€ข On-site

Other

Re-posted 24 days ago


Job description

Cardiac CT Image Analyst โ€“ Biomedical Imaging / AI 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-Heartยฎ and CaRi-Plaqueโ„ข technologies have been featured in The Lancet, JACC, and the European Heart Journal, and Cardiovascular Research

CaRi-Plaqueโ„ข 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