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Remote Biomedical Machine Learning Jobs in New York, NY

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

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How much do remote biomedical machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote biomedical machine learning in New York, NY 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 remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a remote biomedical machine learning specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are the most commonly searched types of Biomedical Machine Learning jobs in New York, NY?

The most popular types of Biomedical Machine Learning jobs in New York, NY are:

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

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

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

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

What cities near New York, NY are hiring for Remote Biomedical Machine Learning jobs?

Cities near New York, NY with the most Remote Biomedical Machine Learning job openings:

Remote Biomedical Machine Learning jobs near you

Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
  • You will fine-tune and evaluate language models for custom use cases and content enrichment.
  • You will contribute to shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important
  • You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs
  • You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches
  • You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline
  • 2+ years experience with open source machine learning or statistical analysis tools
  • 2+ years coding experience in Python
  • 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis
  • 1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

Preferred Qualifications:

  • PhD or Master's research experience in Applied AI
  • 1+ years of experience with information retrieval or search systems
  • 1+ years of experience translating ambiguous business questions into machine learning problems
  • 1+ years of experience building data products, either internal or consumer-facing

REQ-020337

Compensation and Benefits For This Role:

In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. 

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