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Building Biologist Jobs in Santa Rosa, CA (NOW HIRING)

... AI x Biology companies, building frontier foundation models designed to transform therapeutic discovery. The team is developing large-scale multimodal foundation models across biological data ...

... AI x Biology companies, building frontier foundation models designed to transform therapeutic discovery. The team is developing large-scale multimodal foundation models across biological data ...

... biology, multi-omics, and translational data science. This position is ideal for a creative ... Building pipelines to extract, standardize, and validate metadata and data dictionaries * Creating ...

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Building Biologist information

See Santa Rosa, CA salary details

$40.5K

$97.7K

$150.9K

How much do building biologist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for building biologist in Santa Rosa, CA is $97,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a building biologist?

A Building Biologist is a professional who assesses indoor environments for factors that may affect human health and well-being, such as air quality, mold, electromagnetic fields (EMFs), chemical pollutants, and building materials. They identify potential hazards in homes, schools, and workplaces, and provide recommendations to create healthier living and working spaces. Building Biologists use specialized equipment and knowledge of environmental science to help reduce exposure to toxins and improve overall indoor environmental quality.

What are the key skills and qualifications needed to thrive as a building biologist, and why are they important?

To thrive as a Building Biologist, you need a solid understanding of environmental health, building science, and indoor air quality, often supported by formal training or certification in building biology or environmental inspection. Familiarity with technical tools such as air quality monitors, moisture meters, and laboratory testing procedures is essential. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for assessing environmental risks and advising clients. These skills ensure accurate identification and mitigation of hazards, promoting healthier indoor environments and client trust.

What are some typical challenges a building biologist faces when assessing indoor environments?

Building Biologists often encounter challenges such as identifying hidden sources of indoor pollutants, interpreting complex building systems, and communicating technical findings to clients in an understandable way. They must also stay updated on evolving health standards and regulations, which can vary regionally. Additionally, working collaboratively with other professionals—like architects, contractors, or HVAC specialists—is often necessary to implement recommended improvements effectively.

What is the difference between Building Biologist vs Environmental Consultant?

AspectBuilding BiologistEnvironmental Consultant
CredentialsCertifications in building biology, environmental healthEnvironmental science degrees, certifications in environmental impact
Work EnvironmentIndoor environments, residential and commercial buildingsOutdoor sites, industrial and commercial projects
Industry UsageHealth-focused building assessments, mold, EMF, indoor air qualityEnvironmental impact assessments, pollution control, regulatory compliance

Building Biologists focus on indoor environmental health, assessing factors like mold, electromagnetic fields, and air quality within buildings. Environmental Consultants typically evaluate broader environmental impacts, including pollution and regulatory compliance outside buildings. While both roles involve environmental assessments, Building Biologists specialize in indoor health, whereas Environmental Consultants address external environmental issues.

How do you become a building biologist?

To become a building biologist, individuals typically complete specialized training or certification in environmental health, indoor air quality, or building science. Gaining experience in building inspections, environmental assessments, and understanding of electromagnetic fields or chemical exposures is also important, often supplemented by relevant certifications from professional organizations.

What are popular job titles related to Building Biologist jobs in Santa Rosa, CA?

For Building Biologist jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Building Biologist jobs in Santa Rosa, CA look for?

The top searched job categories for Building Biologist jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Building Biologist jobs?

Cities near Santa Rosa, CA with the most Building Biologist job openings:

Infographic showing various Building Biologist job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $97,748 per year, or $47 per hour.

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This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Develop and train large-scale foundation models across biological modalities including DNA, RNA, proteins and single-cell data

  • Research novel model architectures, representation learning approaches and pre-training strategies for biological data

  • Design and implement large-scale distributed training pipelines for frontier AI models


Job description

📍 Location: San Francisco / Boston

🧬 About: Frontier AI x Biology | Foundation Models | Therapeutic Discovery

💼 Stage: Well-funded AI Biotechnology Company


PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER


About the Opportunity


We're partnering with one of the world's leading AI x Biology companies, building frontier foundation models designed to transform therapeutic discovery.


The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal biological representations capable of accelerating target discovery, disease understanding and drug development.


This is a rare opportunity to join an exceptionally strong research organisation working at the intersection of large-scale machine learning and modern biology. You'll collaborate with world-class AI researchers, computational biologists and experimental scientists to develop the next generation of biological foundation models that directly power therapeutic discovery.


The role is highly research-focused, but with a strong emphasis on building models that move beyond publications and have real scientific impact.


Key Responsibilities

  • Develop and train large-scale foundation models across biological modalities including DNA, RNA, proteins and single-cell data
  • Research novel model architectures, representation learning approaches and pre-training strategies for biological data
  • Design and implement large-scale distributed training pipelines for frontier AI models
  • Develop methods for multimodal learning across diverse biological datasets
  • Improve model performance through post-training, evaluation, alignment and fine-tuning techniques
  • Work closely with experimental scientists to translate model outputs into biological insight
  • Design rigorous evaluation frameworks for biological foundation models
  • Contribute to the long-term research direction of the company's AI platform
  • Stay at the forefront of developments across machine learning, foundation models and computational biology


Qualifications

  • PhD in Machine Learning, Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics, Physics or a related quantitative discipline
  • Outstanding research background in modern machine learning
  • Strong publication record at leading conferences or journals (NeurIPS, ICML, ICLR, Nature, Science, Cell, etc.)
  • Experience developing, training or evaluating large deep learning models
  • Strong programming skills using modern ML frameworks (PyTorch, JAX, etc.)
  • Experience with distributed training or large-scale model development is highly desirable
  • Ability to work across both research and engineering to build production-quality systems
  • Ideal Background


We're particularly interested in researchers with experience in one or more of the following:

  • Foundation Models
  • Representation Learning
  • Large Language Models
  • Multimodal Learning
  • Self-Supervised Learning
  • Generative Modelling
  • Reinforcement Learning
  • Large-Scale Distributed Training
  • Single-Cell Foundation Models


Why Join

  1. Help build some of the world's most advanced foundation models for biology
  2. Work alongside internationally recognised AI researchers and computational biologists
  3. Apply frontier AI to real therapeutic discovery problems
  4. Access enormous proprietary biological datasets and large-scale compute
  5. Research with genuine scientific and clinical impact rather than purely academic objectives
  6. Join one of the best-capitalised and fastest-growing AI x Biology organisations in the world
  7. Opportunity to publish, innovate and help shape the future of AI-driven drug discovery