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Remote Biomedical Machine Learning Jobs in Teaneck, NJ

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Finch Legal Inc

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... for a remote-first role - this one is 4 days/week in our NYC office. Compensation The expected ...

Pragmatike

Director of Machine Learning

Manhattan, NY · On-site +1

US Remote Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... execution of machine learning across the organization. There is currently no dedicated ML ...

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Remote Biomedical Machine Learning information

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$42

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

As of Jun 17, 2026, the average hourly pay for remote biomedical machine learning in Teaneck, NJ is $31.45, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $35.53 per hour, depending on experience, location, and employer.

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 are remote biomedical machine learning jobs?

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 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 job categories do people searching Remote Biomedical Machine Learning jobs in Teaneck, NJ look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Teaneck, NJ are:
What cities near Teaneck, NJ are hiring for Remote Biomedical Machine Learning jobs? Cities near Teaneck, NJ with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you
Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY • On-site, Remote

$114K - $157K/yr

Full-time

Posted 3 hours ago

Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.
What You'll Do..
  • Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing

If This Describes You..
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
  • Experience with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?

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