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Machine Learning Biology Jobs (NOW HIRING)

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

About Superluminal Medicines Superluminal Medicines is a generative biology and chemistry company ... About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT · On-site

... biology, chemistry, or related fields is a plus. Company : Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

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.

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

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.

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

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.

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Machine Learning Biology information

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$23K

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$74.5K

How much do machine learning biology jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning biology in the United States is $52,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $60,500.00 per year, depending on experience, location, and employer.

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 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.

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Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $52,190 per year, or $25.1 per hour.

Machine Learning Engineer

Remote

Intelliswift - An LTTS Company
See more jobs at Intelliswift - An LTTS Companyexternal

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Machine Learning Engineer to work closely with AI and imaging scientists on various machine learning projects. The role involves collaborating with clients and data engineers to develop end-to-end machine learning and data pipelines.
Responsibilities:
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
Required:
• MS or PhD in a quantitative field (​e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Preferred:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with ​​development tools for experiment tracking, dataset versioning, and model management in machine learning.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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