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Freelance Machine Learning Biology Jobs (NOW HIRING)

Amgen

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site

$96K - $131K/yr

Experience working with biological data, and in applying machine learning to computational biology * Strong communication and technical leadership skills with an enthusiasm for working in an ...

Amgen, Inc.

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site +1

$96K - $131K/yr

Experience working with biological data, and in applying machine learning to computational biology * Strong communication and technical leadership skills with an enthusiasm for working in an ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics ...

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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 Jul 24, 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.

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:
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Freelance Machine Learning Biology jobs near you
Infographic showing various Freelance Machine Learning Biology job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $52,608 per year, or $25.3 per hour.
Director, Machine Learning, Virtual Cell Initiative

Director, Machine Learning, Virtual Cell Initiative

Arc Institute

Palo Alto, CA • On-site

Full-time

Posted 27 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. The Director of Machine Learning will lead the development of advanced machine learning models for the Virtual Cell Initiative, collaborating with multidisciplinary teams to innovate in the field of single-cell genomics.
Responsibilities:
• Lead/build a team of 6 ML research scientists and engineers augmented with undergrad/masters/PhD students to contribute to the development of a state-of-the-art foundation model and agentic framework for understanding how cells respond to perturbations.
• Work in an active learning loop with Arc’s wet lab scientists to shape the world's largest and most diverse set of single cell training data across many cell contexts.
• Collaborate closely with other research groups to integrate genomics, functional track,and omics data more broadly beyond scRNA-seq data and Perturb-seq
• Stay up to date on the latest in frontier ML research and pioneer new architectures and approaches.
• The ultimate goal is to build a high utility virtual cell model for use by biologists worldwide. We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
• Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.
• Attract the very best talent in the world to support VCI initiative goals
Qualifications:
Required:
• PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field.
• Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch, TensorFlow, JAX, etc.
• Proven experience leading research teams in a fast paced, multi-disciplinary environment.
• Experience with or strong interest in biology with ability to communicate and collaborate successfully with biologists and pure ML engineers.
• Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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