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Ai Bioinformatics Jobs (NOW HIRING)

Baylor Genetics

Lead Bioinformatics AI Scientist

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

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How much do ai bioinformatics jobs pay per year?

As of Jun 19, 2026, the average yearly pay for ai bioinformatics 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 are the key skills and qualifications needed to thrive as an AI Bioinformatician, and why are they important?

To thrive as an AI Bioinformatician, you need strong expertise in computational biology, statistics, and machine learning, typically supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of AI frameworks like TensorFlow or PyTorch are required. Effective problem-solving, collaboration, and clear scientific communication are crucial soft skills in this role. These competencies are important for extracting meaningful insights from complex biological data, driving innovation, and advancing research in genomics and healthcare.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists at top tech companies. These roles often require advanced expertise in machine learning, deep learning, and extensive experience, with compensation including base salary, bonuses, and stock options. Such salaries are rare and usually associated with leadership roles or highly specialized skills in the industry.

Are bioinformatics jobs being replaced by AI?

Bioinformatics jobs, including roles like AI bioinformatics specialists, are evolving with AI tools that automate data analysis and pattern recognition. While AI enhances efficiency and enables new research capabilities, it generally complements rather than replaces human expertise, requiring skills in programming, data interpretation, and domain knowledge.

What is the difference between Ai Bioinformatics vs Bioinformatics Analyst?

AspectAi BioinformaticsBioinformatics Analyst
Required CredentialsDegree in Bioinformatics, Computer Science, or related fields; knowledge of AI/ML toolsDegree in Bioinformatics, Biology, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, biotech companies, AI-focused teamsResearch institutions, healthcare, biotech firms
Employer & Industry UsageTech companies, biotech firms integrating AIHealthcare, research institutions, biotech companies
Common Search & ComparisonYesYes

Ai Bioinformatics focuses on applying artificial intelligence and machine learning techniques to analyze biological data, often requiring programming and AI expertise. Bioinformatics Analysts primarily analyze biological data using traditional bioinformatics tools. While both roles involve data analysis in biology, Ai Bioinformatics emphasizes AI-driven methods, making it suitable for advanced computational projects.

What are AI bioinformaticians?

AI bioinformaticians are professionals who combine artificial intelligence (AI) techniques with bioinformatics to analyze and interpret complex biological data. They use machine learning, deep learning, and other AI tools to identify patterns in genomic, proteomic, and other biological datasets. Their work supports advancements in fields such as personalized medicine, drug discovery, and genomics research. AI bioinformaticians often have expertise in biology, computer science, statistics, and data science.

What is the salary of bioinformatics with AI?

Bioinformatics professionals working with AI typically earn between $70,000 and $130,000 annually, depending on experience, education, location, and industry. Advanced skills in machine learning, programming, and data analysis can lead to higher salaries, especially in biotech and pharmaceutical sectors.

How does an AI Bioinformatics professional typically collaborate with researchers and other team members in interdisciplinary projects?

AI Bioinformatics professionals frequently work in interdisciplinary teams, partnering with biologists, data scientists, software engineers, and healthcare researchers. Collaboration often involves translating biological questions into data-driven problems, developing machine learning models, and interpreting results in the context of ongoing research. Clear communication is essential, as the role requires bridging the gap between computational methods and biological insights. Regular meetings, code sharing, and joint analysis sessions are common practices to ensure all stakeholders are aligned and project goals are met.

How is AI being used in bioinformatics?

AI bioinformatics involves applying machine learning and deep learning algorithms to analyze biological data, such as genomic sequences, protein structures, and gene expression profiles. These techniques help identify patterns, predict functions, and accelerate discoveries in areas like personalized medicine and drug development, often utilizing tools like neural networks and data analysis software. Professionals in this field need strong computational skills and knowledge of biology to develop and interpret AI models effectively.
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Ai Bioinformatics jobs near you
Infographic showing various Ai Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Postdoctoral Research Associate in AI for Computational Biology and/or Bioinformatics - Qiu Lab

University of Illinois Chicago

Chicago, IL • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
The University of Illinois Chicago (UIC) is a prominent urban public research university seeking a Postdoctoral Research Associate in AI for Computational Biology and Bioinformatics in the Qiu Lab. The successful candidate will conduct computational research at the intersection of AI, bioinformatics, and systems biology, engaging in interdisciplinary collaborations and developing novel computational methods for genomics and protein design.
Responsibilities:
• Develop and design novel computational and AI methods for single-cell genomics data analysis, protein design, etc.
• Engage in interdisciplinary collaborations for bioinformatics data analysis and contributing to systems biology research.
• Perform other special projects as assigned.
Qualifications:
Required:
• PhD degree in computational biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field.
• Computational background in areas such as AI/deep learning, multiscale modeling, optimization, topological/geometric data analysis, among others.
• Strong programming skills and experience (e.g., Python, R).
Preferred:
• Interdisciplinary research experience with experimentalists.
Company:
UIC is Chicago's largest university with more than 33,000 students, 12,000 employees, 16 colleges and a major public medical center. Founded in 1965, the company is headquartered in Chicago, il, US, , with a team of 10001+ employees. The company is currently Late Stage.

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