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Remote Machine Learning Biology Jobs in Chicago, IL

The University of Chicago

Staff Scientist

Chicago, IL · On-site +1

Department BSD IPP - Machine Learning About the Department The Institute for Population and Precision Health (IPPH), located in the Biological Sciences Division, will integrate a wide spectrum of ...

micro1 AI

AI Trainer - Microbiology Expert

Elgin, IL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Aurora, IL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Joliet, IL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Chicago, IL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

D.W. Simpson

Consulting Actuary - Remote

Chicago, IL · On-site +1

$185K/yr

... machine learning. The ideal candidate would have at least 5 years of actuarial experience ... Remote Meet Your Recruiter Arturo Aguilera Director, Social Media & Marketing Arturo joined DW ...

Enova International

Be Seen First

Call Center Sales Representative (Remote)

Chicago, IL · Remote

$17/hr

This role is entirely remote; however, candidates must reside within 100 miles of either Chicago ... our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and ...

New

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · On-site +1

$110K - $150K/yr

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... Knowledge of engineering concepts and biology with ability to evaluate device performance data and ...

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · Remote

$110K - $150K/yr

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... Knowledge of engineering concepts and biology with ability to evaluate device performance data and ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

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Showing results 21-40

All JobsMachine Learning Biology JobsRemote Machine Learning Biology JobsRemote Machine Learning Biology Jobs in Chicago, IL

Remote Machine Learning Biology information

See Chicago, IL salary details

$38.1K

$92.1K

$142.2K

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

As of Aug 8, 2026, the average yearly pay for remote machine learning biology in Chicago, IL is $92,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $124,600.00 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?

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.
What are the most commonly searched types of Machine Learning Biology jobs in Chicago, IL? The most popular types of Machine Learning Biology jobs in Chicago, IL are:
What are popular job titles related to Remote Machine Learning Biology jobs in Chicago, IL? For Remote Machine Learning Biology jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Biology jobs in Chicago, IL look for? The top searched job categories for Remote Machine Learning Biology jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Machine Learning Biology jobs? Cities near Chicago, IL with the most Remote Machine Learning Biology job openings:
Remote Machine Learning Biology jobs near you
Infographic showing various Remote Machine Learning Biology job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,099 per year, or $44.3 per hour.

Senior Machine Learning Engineer

Uber Technologies, Inc.

Chicago, IL • On-site, Remote

Full-time

Retirement

Posted 8 days ago

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.

We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.

What You'll Do

This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.

Basic Qualifications
 

  • 4+ years of experience developing ML models to solve business problem.
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • Familiar with modern AI/ML frameworks (e.g., PyTorch).

 Preferred Qualifications

  • Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical. 
  • Previous experience with state-of-the-art marketplace technology is preferred.
  • Experience with causal inference and constrained optimization

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Chicago, IL-based roles: The base salary range for this role is USD $182,000 per year - USD $202,000 per year.


For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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