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Ai Bioinformatics Jobs (NOW HIRING)

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 ...

Linn Products, Inc

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ...

Celcuity Inc.

$110K - $120K/yr

Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Linn Products, Inc

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ...

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ...

Celcuity Inc.

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Apply statistical predictive models (including AI) to wet-lab experiments and processes typically ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Zymo Research

Bioinformatics Associate I

Irvine, CA · On-site

$75K - $95K/yr

Typical tasks include algorithm selection and optimization, database curation, AI function ... Bioinformatics or metagenomics data analysis experience may substitute for education. * Must have ...

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How much do ai bioinformatics jobs pay per year?

As of Sep 9, 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 is an AI bioinformatician?

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.

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 is the role of AI in bioinformatics?

AI in bioinformatics involves using machine learning and deep learning algorithms to analyze biological data, such as genetic sequences and protein structures. Bioinformatics professionals develop models to identify patterns, predict functions, and assist in drug discovery, often utilizing tools like Python, R, and specialized AI frameworks. This role requires strong computational skills and knowledge of biology to interpret complex datasets effectively.

Will AI take a bioinformatics job?

AI bioinformatics involves using artificial intelligence and machine learning tools to analyze biological data, and it is increasingly integrated into the field. While AI automates certain tasks, it complements human expertise, and bioinformaticians are needed to interpret results, develop algorithms, and manage data workflows. The role requires skills in programming, data analysis, and understanding biological concepts, making it unlikely that AI will fully replace human bioinformaticians soon.
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Ai Bioinformatics jobs near you
Infographic showing various Ai Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery

Tampa, FL • On-site

Statistics Interest Group
See more jobs at Statistics Interest Groupexternal

Other

Posted 8 days ago

Job description

Moffitt Cancer Center, Tampa , Florida, US – Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery Position Title Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery Company Information

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab, led by Dr. Xuefeng Wang, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center—one of the nation’s top-ranked cancer research institutes is recruiting two postdoctoral fellows focusing on AI, Bioinformatics, Cancer Omics and Biomarker Discovery.

Duties and Responsibilities

The fellow will contribute to cutting-edge projects leveraging artificial intelligence and advanced bioinformatics to drive innovation in cancer genomics and biomarker discovery. This position offers exceptional interdisciplinary training in both computational and translational oncology, providing direct access to high-performance computing infrastructure and rich collaborative resources across Moffitt's scientific community. The position is available immediately and will remain open until filled.

Position Qualifications

The Ideal Candidate:

  • Research background/experiences in artificial intelligence, bioinformatics, biostatistics/statistics, computational biology, or genomics.
  • A highly motivated and independent researcher with a strong quantitative scientific background.
  • Prior experience in cancer genomics in not required, but a strong willingness and ability to learn new fields is highly desirable.
  • Committed to producing high-quality, high-impact research and contributing to publications and grant proposals.

Responsibilities:

  • Discover and validate new predictive biomarkers using large-scale cancer omics datasets, including single-cell and spatial omics data.
  • Develop and extend computational, statistical and machine learning methods to advance cancer clinical and translational research.
  • Design and implement novel visualizing tools to facilitate interpretation of complex omics results.
  • Collaborate with clinicians and scientists across Moffitt clinical and research programs.
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