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Ai Bioinformatics Jobs (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Position Summary The Manager, Bioinformatics leads a team of bioinformatics scientists responsible ...

Tiny Health

The Opportunity As Bioinformatics Technician, you will operate and maintain aspects of our ... Experience with AI tools * Strong organizational skills with meticulous attention to detail

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Position Summary The Manager, Bioinformatics leads a team of bioinformatics scientists responsible ...

SecureBio, LLC

Bioinformatics Engineer

Cambridge, MA · On-site

$110K - $150K/yr

Develop AI-based tools for automated analysis and prioritization of concerning sequences ... Bioinformatic analysis of complex sequencing data, such as metagenomics or transcriptomics; General ...

Caris MPI, Inc.

Scientist - Bioinformatics

Phoenix, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Position SummaryThe Scientist - Bioinformatics will be responsible for supporting and maintaining ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

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Ai Bioinformatics information

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$59.5K

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How much do ai bioinformatics jobs pay per year?

As of Sep 11, 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.

Bioinformatics Workflow Developer

South San Francisco, CA • On-site

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Astrix Incexternal

$40 - $45/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Pay Rate Low: 40 | Pay Rate High: 45
Our client is a leading biotechnology company seeking a Bioinformatics Workflow Developer to support computational research and drug discovery initiatives.
Title: Bioinformatics Workflow Developer
Duration: 12-Month Contract | W2 + Benefits
Location: US Remote | PST Hours
Pay Rate: $40-45/hr
Position Overview
This role will develop and optimize reproducible, scalable bioinformatics workflows for large-scale biological datasets, working closely with computational scientists, biomarker researchers, and experimental biologists.
Key Responsibilities
  • Develop, maintain, and productionize bioinformatics workflows using Nextflow, WDL, CWL, or Snakemake.
  • Analyze bulk and single-cell transcriptomic and epigenetic datasets, including RNA-seq, GWAS, proteomics, and perturbational data.
  • Build computational tools, libraries, statistical models, and visualizations to support biological research.
  • Deploy workflows across HPC and cloud environments.
  • Leverage AI/LLM tools and agentic coding workflows to improve development and analysis efficiency.
  • Communicate computational findings through Jupyter/R Notebooks, visualizations, and presentations.
  • Maintain strong standards for reproducibility, documentation, and data stewardship.

Qualifications
  • Bachelor's degree or higher in Bioinformatics, Computational Biology, Genomics, Systems Biology, Statistics, or a related field.
  • MUST be authorized to work for a US employer without sponsorship.
  • 2-5+ years of experience working with large-scale biological or clinical datasets.
  • Strong Python and/or R skills; experience with Scanpy, AnnData, Pandas, scikit-learn, ggplot2, and/or Bioconductor.
  • Hands-on experience with Nextflow, WDL, CWL, or Snakemake.
  • Experience with Linux, HPC, Git, and cloud environments.
  • Familiarity with AI/LLM-assisted development, including agentic coding or automated refactoring.
  • Knowledge of FAIR data principles and containerization using Docker, Singularity, or Apptainer.
  • Strong problem-solving, communication, and cross-functional collaboration skills.

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