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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 ...

ZS

Bioinformatics Leader

Boston, MA · On-site

$200K - $229K/yr

The team brings hands-on scientific expertise, advanced analytics, AI, and strategic consulting to ... Bioinformatics Leader ZSD's bioinformatics team delivers work spanning multi-omics analysis ...

Arc Institute

Scientist, Bioinformatics

Palo Alto, CA · On-site

... AI-assisted development tools (e.g. Claude Code, GitHub Copilot, OpenAI Codex) to accelerate ... bioinformatics software, including writing tests, documentation, and versioned releases. • ...

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site +1

Support AI/ML and predictive analytics initiatives in healthcare environments. * Collaborate with ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

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Ai Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do ai bioinformatics jobs pay per year?

As of Jul 10, 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 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.

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.
More about Ai Bioinformatics jobs
What cities are hiring for Ai Bioinformatics jobs? Cities with the most Ai Bioinformatics job openings:
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What job categories do people searching Ai Bioinformatics jobs look for? The top searched job categories for Ai Bioinformatics jobs are:
Ai Bioinformatics jobs near you
Infographic showing various Ai Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% 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

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

University of Illinois Chicago

Chicago, IL • On-site

Full-time

Posted 11 hours 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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