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Ai Bioinformatics Jobs in California (NOW HIRING)

Zymo Research

Bioinformatics Associate I

Irvine, CA · On-site

$75 - $95/hr

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

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

... AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and ... We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

... AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and ... We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

... AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and ... We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ...

EdenRoc Sciences

Bioinformatics Scientist

Scotts Valley, CA · On-site

$80K - $130K/yr

We are looking for an outstanding Bioinformatics Scientist to drive development of new clinical ... Proficiency with agentic AI for robust code development and scientific workflows. * Experience with ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

They are seeking a talented Bioinformatics Analyst to implement and aid in the design and analysis ... GATC Health uses AI to speed drug discovery, predict outcomes, and support research with data ...

Arc Bio

Bioinformatics Scientist

Scotts Valley, CA · On-site

$120 - $180/hr

Contribute and author bioinformatics-focused white papers, posters, and publications ... Proficiency with agentic AI for robust code development and scientific workflows. * Experience with ...

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All JobsAi Bioinformatics JobsAi Bioinformatics Jobs in California

Ai Bioinformatics information

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.

What are popular job titles related to Ai Bioinformatics jobs in California?

For Ai Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Bioinformatics jobs in California look for?

The top searched job categories for Ai Bioinformatics jobs in California are:

What cities in California are hiring for Ai Bioinformatics jobs?

Cities in California with the most Ai Bioinformatics job openings:

Ai Bioinformatics jobs near you
Infographic showing various Ai Bioinformatics job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Founding Bioinformatics Engineer

Novaflow (YC S25)

San Francisco, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Novaflow is an AI data analyst for biology labs, aiming to streamline the analysis process for researchers. They are seeking a Founding Bioinformatics Engineer to build and maintain bioinformatics pipelines, ensuring the analysis is accurate and scalable on cloud infrastructure.
Responsibilities:
• Build and maintain bioinformatics pipelines for genomics, transcriptomics, and other -omics data
• Write clean, reproducible analysis code in Python and/or R
• Set up and manage cloud infrastructure (AWS or GCP) for large-scale compute workloads
• Integrate existing bioinformatics tools, databases, and data sources into the platform
• Validate pipeline outputs against published methodologies and real scientific standards
• Work with academic labs, tool providers, and data partners to expand what the platform can do
• Help decide what we build next based on what researchers actually need
Qualifications:
Required:
• Bachelor's or Master's in Computational Biology, Bioinformatics, Biomedical Engineering, or a related field (PhD is a plus)
• 2+ years building bioinformatics pipelines or computational biology workflows
• Strong in Python and/or R
• Know your way around bioinformatics file formats (FASTQ, BAM, VCF, HDF5, etc.)
• Experience running workloads on AWS or GCP
• Comfortable in Linux/Unix command-line environments
• Solid understanding of molecular biology (genomics, gene expression, variant calling)
• Good communicator who can work across biology and engineering
Preferred:
• Experience with Nextflow, Snakemake, or similar workflow managers
• Docker experience
• Familiarity with LLMs or AI/ML tools
• Experience across multiple biomedical domains
• Startup or biotech/pharma background
• Previous startup experience (prior experience either working for or founding a startup)
Company:
Creating tools to automate data analysis for life science researchers. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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