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Ai Bioinformatics Jobs (NOW HIRING)

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery ... ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl ...

LLNL

Bioinformatics Scientist

Livermore, CA

We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... AI/ML models and workflows. * Significant experience with high-performance computing, GPU ...

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery ... ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl ...

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

$9.8K/wk

We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... AI/ML models and workflows. * Significant experience with high-performance computing, GPU ...

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... AI/ML models and workflows. * Significant experience with high-performance computing, GPU ...

Profluent

Lead Bioinformatics Scientist, NGS

Emeryville, CA · On-site +1

$160K - $230K/yr

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models ... In this role, you'll architect core bioinformatics infrastructure, define analytical strategy, and ...

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All JobsAi Bioinformatics Jobs

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 13, 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:
What states have the most Ai Bioinformatics jobs? States with the most job openings for Ai Bioinformatics jobs include:
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.

Bioinformatics Engineer, Pipelines

Mithrl

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description

ABOUT MITHRL
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.
Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into real insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE
We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl's multi modal scientific processing pipelines. You will own the workflows that transform raw biological data into clean, reproducible outputs that power Mithrl's AI Co-Scientist. These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.
This role sits at the center of our technical stack. You will architect Nextflow and nf-core style pipelines, implement modality-specific validation and QC layers, and collaborate with the Tabular Data Team and Knowledge Curation Team to ensure downstream data harmonization, variable ID mapping, and schema alignment. Your work ensures that scientists can ask questions and receive accurate data-backed answers instantly.
If you enjoy building robust scientific workflows and want to work on high impact problems, you will thrive here.
WHAT YOU WILL DO
  • Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq
  • Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability
  • Implement quality control, validation, and provenance tracking for all supported modalities
  • Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into Mithrl's internal schemas, including variable ID coercions, metadata normalization, and feature name harmonization
  • Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies
  • Produce structured output artifacts so users can download processed data and supporting metadata directly through the platform

WHAT YOU BRING
Required Qualifications
  • 6 to 8 years of experience in bioinformatics workflow engineering or computational biology
  • Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems
  • Proficiency in Python or R for data processing, QC, and pipeline logic
  • Hands-on experience building pipelines for multiple biological data types, including genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics
  • Ability to design pipelines that are reproducible and containerized using Docker or Singularity
  • Strong understanding of secondary and tertiary data layers and how they integrate with downstream analysis systems
  • Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats

Nice to Have
  • Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud
  • Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy
  • Familiarity with genomic reference databases, annotation formats, and biological ontologies
  • Previous work in a tech bio startup, biotech R&D group, or scientific software company

WHAT YOU WILL LOVE AT MITHRL
  • You will build the core pipelines that transform raw biological data into insights used by the AI Co-Scientist
  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback
  • Location: Beautiful SF office with a high-energy, in-person culture
  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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