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Remote Biomedical Machine Learning Jobs in Campbell, CA

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Knowledge of statistical methods and machine learning algorithms: A deep understanding of ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

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Remote Biomedical Machine Learning information

See Campbell, CA salary details

$17

$33

$45

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

As of Aug 18, 2026, the average hourly pay for remote biomedical machine learning in Campbell, CA is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $28.08 and $37.26 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 job categories do people searching Remote Biomedical Machine Learning jobs in Campbell, CA look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Campbell, CA are:

What cities near Campbell, CA are hiring for Remote Biomedical Machine Learning jobs?

Cities near Campbell, CA with the most Remote Biomedical Machine Learning job openings:

Remote Biomedical Machine Learning jobs near you
Infographic showing various Remote Biomedical Machine Learning job openings in Campbell, CA as of August 2026, with employment types broken down into 57% Full Time, 20% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,672 per year, or $33 per hour.

Machine Learning Researcher / Engineer (Foundation Models)

Pathway

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

About Pathway
At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans.
Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.
Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.
The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer ("the T" in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California.
The Opportunity
This is an R&D position in attention-based models.
We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research.
This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum.
You Will
  • perform (distributed) model training.
  • help improve/adapt model architectures based on experiment results.
  • design new tasks and experiments.
  • optionally: oversee activities of team members involved in data preparation.

The results of your work will play a crucial role in the success of the project.
Requirements
Cover letter
It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.
You are expected to meet at least one of the following criteria:
  1. You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions.
  2. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's.
  3. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA).
  4. You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School.
You Are
  • A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply).
  • Interested in improving foundational architectures and creating new benchmarks.
  • Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow).
  • Have a good understanding of GPU architecture, memory design, and communication.
  • Have a good understanding of graph algorithms.
  • Have some familiarity with model monitoring, git, build systems, and CI/CD.
  • Respectful of others
  • Fluent in English
Bonus Points
  • Knowledge of approaches used in distributed training.
  • Familiarity with Triton
  • Successful track-record in algorithms & data science contests.
  • Showing a code portfolio.
Why You Should Apply
  • Join an intellectually stimulating work environment.
  • Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data.
  • Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.

Benefits
  • Type of contract: Full-time, permanent
  • Preferable joining date: Immediate. The positions are open until filled - please apply immediately.
  • Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan.
  • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered.

If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.

Apply