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Machine Learning Biology Jobs in Chicago, IL (NOW HIRING)

... machine learning concepts, and modern software development methodologies in enterprise environments. Preferred: * Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another ...

... machine learning concepts, and modern software development methodologies in enterprise environments. Preferred: * Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another ...

... machine learning concepts, and modern software development methodologies in enterprise environments. Preferred: * Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another ...

Strong understanding of cancer biology. * Strong peer-reviewed publication record. * Adherence to ... Proficiency applying machine learning, statistical modeling, LLM-based coding assistants (e.g ...

Research Technician

Chicago, IL · On-site

$19.23 - $26.44/hr

... machine learning and artificial intelligence approaches can be applied to clinical images from ... Experience with core molecular/cellular biology techniques and cancer cell culture. * Hands-on ...

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 ...

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 ...

Showing results 41-60

Machine Learning Biology information

See Chicago, IL salary details

$23.7K

$53.8K

$76.7K

How much do machine learning biology jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning biology in Chicago, IL is $53,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $62,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

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 Machine Learning Biology jobs in Chicago, IL? For Machine Learning Biology jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Chicago, IL look for? The top searched job categories for Machine Learning Biology jobs in Chicago, IL are:
Infographic showing various 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 $53,763 per year, or $25.8 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Elgin, IL • Remote

$70 - $90/hr

Part-time

Posted 11 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.