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Freelance Machine Learning Biology Jobs (NOW HIRING)

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.

Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.

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 ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Science, Biology, etc) or Bachelorʼs degree with equivalent experience. Experience in Search ...

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Freelance Machine Learning Biology information

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$39K

$52.6K

$66.5K

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

As of Jun 30, 2026, the average yearly pay for freelance machine learning biology in the United States is $52,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $61,000.00 per year, depending on experience, location, and employer.

Is ML a high paying job?

Machine learning roles in biology, such as freelance machine learning biologists, tend to offer competitive salaries due to the specialized skills required, including programming, data analysis, and domain knowledge. Compensation varies based on experience, project complexity, and client budgets, but generally, ML jobs are considered well-paying within the tech and scientific fields.

What can I do with a biology degree remotely?

A freelance machine learning biology professional can work remotely on projects such as data analysis, model development, and bioinformatics research. These roles often require skills in programming, statistical analysis, and familiarity with tools like Python, R, or specialized bioinformatics software, allowing for flexible, remote collaboration with research teams or biotech companies.

What can you do with a biology degree in AI?

A freelance machine learning biologist can apply their biology knowledge to develop AI models for biological data analysis, such as genomics, drug discovery, or healthcare diagnostics. They often use skills in programming, data analysis, and machine learning frameworks like Python and TensorFlow to create solutions for research or industry projects.

Can I do freelancing with machine learning?

Freelance machine learning professionals can work independently on projects such as data analysis, model development, and algorithm optimization. Success typically requires strong skills in programming, data handling, and familiarity with tools like Python, TensorFlow, or scikit-learn, along with effective communication to clients. Many freelancers find opportunities through online platforms and set their own schedules based on project scope.

What is the difference between Freelance Machine Learning Biology vs Freelance Data Scientist?

AspectFreelance Machine Learning BiologyFreelance Data Scientist
Required CredentialsBackground in biology, machine learning, and data analysisBackground in statistics, programming, and data analysis
Work EnvironmentResearch labs, biotech firms, or remote projects focused on biological dataVarious industries including finance, healthcare, and tech, often remote
Employer & Industry UsageBiotech companies, research institutions, healthcare startups

Freelance Machine Learning Biology specializes in applying machine learning techniques to biological data, often within biotech and healthcare sectors. Freelance Data Scientists have a broader scope across industries, focusing on data analysis and modeling in various fields. While both roles require strong analytical skills, Freelance Machine Learning Biology emphasizes biological knowledge combined with machine learning expertise.

More about Freelance Machine Learning Biology jobs
What cities are hiring for Freelance Machine Learning Biology jobs? Cities with the most Freelance 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 Freelance Machine Learning Biology jobs? States with the most job openings for Freelance Machine Learning Biology jobs include:
Infographic showing various Freelance Machine Learning Biology job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $52,608 per year, or $25.3 per hour.

Machine Learning Engineer

Nanite Inc.

Boston, MA

Full-time

Posted 21 days ago


Job description

Our mission is to deliver the undeliverable.

 

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.

Essential Functions and Duties

  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications

MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience. 

Knowledge, Skills, and Abilities

  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python,  MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):

  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.