1

Machine Learning Biology Jobs (NOW HIRING)

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

This role involves hands-on modeling of high-dimensional biological data, leveraging and fine ... apply machine learning to diverse disease areas. Cellarity is a product of Flagship Pioneering ...

This role involves hands-on modeling of high-dimensional biological data, leveraging and fine ... apply machine learning to diverse disease areas. Cellarity is a product of Flagship Pioneering ...

Showing results 41-60

Machine Learning Biology information

See salary details

$23K

$52.2K

$74.5K

How much do machine learning biology jobs pay per year?

As of Sep 6, 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.

More about Machine Learning Biology jobs

What cities are hiring for Machine Learning Biology jobs?

Cities with the most 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 Machine Learning Biology jobs?

States with the most job openings for Machine Learning Biology jobs include:

What job categories do people searching Machine Learning Biology jobs look for?

The top searched job categories for Machine Learning Biology jobs are:

Infographic showing various Machine Learning Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,190 per year, or $25.1 per hour.

Machine Learning Research Scientist

Blank Bio

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials through innovative RNA foundation models. The Machine Learning Research Scientist will design novel ML methods and develop evaluation benchmarks to enhance diagnostic and treatment processes in clinical trials.
Responsibilities:
• Design and prototype new ML methods (representation learning, generative modeling, contrastive pretraining) for RNA biology.
• Develop benchmarks and evaluation frameworks for tasks spanning diagnostics, patient stratification, biomarker discovery, and more
• Analyze large-scale sequencing datasets (bulk RNA-seq, single-cell, long-read) to inform model development and evaluation.
Qualifications:
Required:
• PhD (or equivalent experience) in Machine Learning, Computational Biology, or related fields.
• Demonstrated track record in ML research (publications, impactful projects, or deployed systems).
• Expertise in representation learning, and/or large-scale sequence modeling.
• Ability to independently design and execute research projects.
Preferred:
• Familiarity with transcriptomics, RNA biology, or other -omics data.
• Experience developing benchmarks for biological or clinical ML tasks.
• Prior collaboration with clinical researchers, diagnostic developers, or biomarker discovery teams.
• Previous work in an early-stage, fast-paced environment.
Company:
Blank Bio is an applied AI research company developing RNA foundation models that analyze biological sequence data for therapeutic research. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.