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Biomedical Machine Learning Jobs in New York (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.

New York University

Research Positions

New York, NY · On-site

$48K - $62K/yr

Application of machine learning and AI techniques to domain-specific challenges * Collaboration with domain experts from fields such as urban computing, biomedical research, and beyond. Beyond VIDA ...

Rutgers University

Post Doc Associate

Piscataway, NJ · On-site

$63K/yr

Employee discount programs Posting Summary Niu Lab in Biomedical Engineering is seeking a highly ... Strong skills in developing biosignal processing algorithms and implementing machine learning ...

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

You'll work at the intersection of computational biology, machine learning, and drug development ... Aid in the development and training of AI agents to automate and optimize biomedical workflows

NYU Langone Health

Research Engineer

Manhattan, NY

... machine learning research and development * Design, implement, and maintain the necessary tools ... and biomedical research Minimum Qualifications: To qualify you must have a Masters degree in ...

NYULMC

Research Engineer

New York, NY · On-site

... machine learning research and development * Design, implement, and maintain the necessary tools ... and biomedical research Minimum Qualifications: To qualify you must have a Masters degree in ...

NYU Langone Health

Research Engineer

Manhattan, NY

... machine learning research and development * Design, implement, and maintain the necessary tools ... and biomedical research Minimum Qualifications: To qualify you must have a Masters degree in ...

a16z speedrun

Founding ML Engineer

New York, NY · On-site

MS or PhD in machine learning, computer science, electrical engineering, applied math, biomedical engineering, or related field * 3-7 years of experience * Prior work on physiological signals ...

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How much do biomedical machine learning jobs pay per hour?

As of Aug 21, 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.

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:

What are popular job titles related to Biomedical Machine Learning jobs in New York?

For Biomedical Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Biomedical Machine Learning jobs in New York look for?

The top searched job categories for Biomedical Machine Learning jobs in New York are:

Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% 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.

Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center

The Rockefeller University

Manhattan, NY • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
The Rockefeller University is a leading research institution, and they are seeking a Senior Bioinformatics Analyst to design, implement, and deploy AI/ML methods for genomics and multi-omics data. This role focuses on creating robust analytical pipelines that support research across the university's laboratories and providing consultative support and training to researchers.
Responsibilities:
• Design, implement, and maintain AI/ML pipelines for genomics and multi-omics data (RNA-seq, ATAC-seq, ChIP-seq, functional genomics)
• Apply and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators.
• Develop interpretable models and attribution analyses (e.g., motif discovery, perturbation and variant-effect analyses) to support biological insight.
• Build, document, and containerize reproducible workflows suitable for shared HPC/GPU environments.
• Provide consultative support and training to researchers using BRC AI/ML tools and pipelines.
• Performs related duties & responsibilities as assigned/requested.
Qualifications:
Required:
• Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field
• A minimum of five years of relevant experience applying computational or machine learning methods to biological data.
Preferred:
• PhD in Bioinformatics, Computational Biology, Computer Science, or a related field
• Experience applying deep learning or foundation-model approaches to sequence-based or multimodal genomics data.
• Experience in a core facility or highly collaborative research environment.
• Familiarity with model interpretability for biological insight (motif analysis, attribution methods, TF/RBP modeling).
• Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments.
• Track record of contributing to peer-reviewed publications as a computational specialist.
• Interest in mentoring and training researchers in applied AI/ML methods.
Company:
The Rockefeller University is a center for research and graduate education in biomedical sciences, chemistry, bioinformatics, and physics. Founded in 1901, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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