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Remote Machine Learning Biology Jobs (NOW HIRING)

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

New

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Remote USA $124,800-$171,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... M.S. or PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science ...

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to ...

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

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Remote Machine Learning Biology information

See salary details

$37K

$89.4K

$138K

How much do remote machine learning biology jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote machine learning biology in the United States is $89,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Biology professional, and why are they important?

To thrive as a Remote Machine Learning Biology professional, you need a strong foundation in computational biology, machine learning algorithms, programming (such as Python or R), and a relevant degree in bioinformatics, computer science, or biology. Familiarity with bioinformatics tools, data analysis platforms, cloud computing resources, and frameworks like TensorFlow or PyTorch is typically required. Excellent problem-solving, collaboration, and communication skills are essential for effectively interpreting results and working with interdisciplinary teams in a remote environment. These skills and qualities are crucial for advancing biological research through data-driven insights and ensuring effective teamwork and project delivery in a virtual setting.

What is the difference between Remote Machine Learning Biology vs Remote Bioinformatics Specialist?

AspectRemote Machine Learning BiologyRemote Bioinformatics Specialist
Required CredentialsMaster's or PhD in Biology, Data Science, or related fields; experience in machine learningBachelor's or Master's in Bioinformatics, Biology, or Computer Science; programming skills
Work EnvironmentResearch labs, biotech companies, or academic institutions with remote optionsResearch institutions, healthcare, or biotech firms with remote roles
Industry UsageUsed in biotech, pharmaceuticals, and research to analyze biological data with MLApplied in genomics, proteomics, and clinical data analysis

Remote Machine Learning Biology focuses on applying machine learning techniques to biological data, often requiring advanced degrees and programming skills. Remote Bioinformatics Specialists analyze biological datasets using bioinformatics tools. Both roles are vital in biotech and research industries, but they differ in technical focus and required expertise.

How do remote machine learning biology professionals typically collaborate with experimental biologists and other team members?

Remote machine learning biology professionals often work closely with experimental biologists, bioinformaticians, and data engineers through virtual meetings, shared project management tools, and collaborative coding platforms. Regular communication is vital to ensure alignment on research objectives, data requirements, and interpretation of results. Team members typically share data, code, and experimental findings using cloud-based repositories, while frequent check-ins help address challenges and maintain project momentum. This collaborative approach allows remote professionals to contribute effectively to interdisciplinary research, despite physical distance.

What is a Remote Machine Learning Biologist?

A Remote Machine Learning Biologist is a professional who applies machine learning techniques to biological data and problems while working remotely, often from home or a location outside a traditional laboratory or office. They use computational tools and algorithms to analyze complex biological datasets, such as genomics, proteomics, or drug discovery data, to derive insights or make predictions. Their work may involve developing predictive models, automating data analysis, and collaborating with life scientists and engineers. Remote roles in this field require strong skills in both biology and computer science, as well as the ability to work independently and communicate effectively with remote teams.
More about Remote Machine Learning Biology jobs
What cities are hiring for Remote Machine Learning Biology jobs? Cities with the most Remote Machine Learning Biology job openings:
What are the most commonly searched types of Machine Learning Biology jobs? The most popular types of Machine Learning Biology jobs are:
What states have the most Remote Machine Learning Biology jobs? States with the most job openings for Remote Machine Learning Biology jobs include:
Infographic showing various Remote Machine Learning Biology job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $89,403 per year, or $43 per hour.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 16 days ago


Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.