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Ai In Bioinformatics Jobs (NOW HIRING)

Axle

Bioinformatics Scientist

Bethesda, MD

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

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 ...

Inocras Inc

Bioinformatics Engineer

San Diego, CA · On-site

$100K - $140K/yr

In this role, you will analyze large-scale genomic data and help build the cloud-native systems that operationalize it--turning bioinformatics methods, WGS pipelines, and AI proof-of-concepts into ...

Celcuity Inc.

$110 - $120/hr

... improve existing in-house analysis R/Python workflows for large-scale Omics data using ML/AI ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Celcuity Inc.

Bioinformatics Scientist

Minneapolis, MN · On-site

$110 - $120/hr

... improve existing in-house analysis R/Python workflows for large-scale Omics data using ML/AI ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

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How much do ai in bioinformatics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai in 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.
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Ai In Bioinformatics jobs near you
Infographic showing various Ai In Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Workflow Developer

Astrix Inc

South San Francisco, CA • On-site

$40 - $45/hr

Contractor

Posted 20 days ago

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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