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Full Time Bioinformatics Machine Learning Jobs (NOW HIRING)

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

Showing results 41-60

Full Time Bioinformatics Machine Learning information

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$59.5K

$94.5K

$149.5K

How much do full time bioinformatics machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time bioinformatics machine learning in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Bioinformatics Machine Learning vs Full Time Data Scientist?

AspectFull Time Bioinformatics Machine LearningFull Time Data Scientist
Required CredentialsDegree in Bioinformatics, Computer Science, or related field; knowledge of biology and machine learningDegree in Data Science, Statistics, Computer Science, or related field; strong programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, consulting firms, various industries
Industry UsageBiotech, healthcare, genomicsFinance, marketing, tech, healthcare
Common Search/ComparisonYesYes

Full Time Bioinformatics Machine Learning roles focus on applying machine learning techniques to biological data, often within healthcare or biotech settings. Full Time Data Scientist positions are broader, covering various industries and data types. While both require programming and statistical skills, bioinformatics roles emphasize biological knowledge, whereas data science roles focus on diverse data applications across industries.

More about Full Time Bioinformatics Machine Learning jobs

What cities are hiring for Full Time Bioinformatics Machine Learning jobs?

Cities with the most Full Time Bioinformatics Machine Learning job openings:

What are the most commonly searched types of Bioinformatics Machine Learning jobs?

The most popular types of Bioinformatics Machine Learning jobs are:

Infographic showing various Full Time Bioinformatics Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Machine Learning Engineer

Blank Bio

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials by training RNA foundation models. The Machine Learning Engineer will be responsible for scaling models, building training infrastructure, and ensuring reproducibility across large-scale biological datasets while collaborating with research scientists and biologists.
Responsibilities:
• Develop and optimize large-scale ML training pipelines for RNA foundation models.
• Implement distributed training systems (multi-GPU/TPU) and optimize performance at scale.
• Build infrastructure for dataset management, preprocessing, and benchmarking.
• Collaborate with scientists to translate biological questions into ML tasks.
• Contribute to the design and evaluation of new architectures, embeddings, and fine-tuning strategies.
• Maintain high-quality engineering standards, including reproducibility, testing, and deployment readiness.
Qualifications:
Required:
• 3+ years of work experience
• Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or TensorFlow).
• Hands-on experience training large-scale models (transformers, diffusion, or sequence models).
• Strong background in distributed training, optimization, and performance profiling.
• Track record of building ML systems that scale and ship.
Preferred:
• Experience with biological or messy, real-world scientific data.
• Background in computational biology, bioinformatics, or adjacent fields.
• Experience in early-stage startups or interdisciplinary ML-for-science projects.
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.