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Biological Ai Jobs (NOW HIRING)

Co-Sourcing Partners

Applied AI Engineer

New York, NY · On-site

Onsite Our client is an applied biological intelligence company. They build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving ...

Biohub

Senior Staff Data Engineer

New York, NY · On-site +1

$270K - $338K/yr

We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site

$214K - $294K/yr

The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive ...

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Biological Ai information

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$31K

$42.1K

$56K

How much do biological ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for biological ai in the United States is $42,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $46,500.00 per year, depending on experience, location, and employer.

What is a biological AI professional?

Biological AI professionals are experts who work at the intersection of artificial intelligence and biological sciences. They develop and apply AI algorithms to solve complex biological problems, such as modeling biological systems, analyzing genomics data, or designing new drugs. Their work can involve machine learning, computational biology, bioinformatics, and systems biology. These professionals help advance research in healthcare, agriculture, and environmental science by leveraging AI to interpret vast amounts of biological data.

What are the key skills and qualifications needed to thrive as a biological AI specialist?

To thrive as a Biological AI Specialist, you need a strong background in biology, computational modeling, and machine learning, typically supported by a degree in bioinformatics, computational biology, or a related field. Experience with programming languages (such as Python or R), bioinformatics tools, and AI frameworks is essential, and certifications in data science or AI can be advantageous. Strong analytical thinking, problem-solving abilities, and effective communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills are crucial for developing innovative solutions at the intersection of biology and artificial intelligence, driving advancements in research and real-world applications.

What are some common challenges faced by professionals working in biological AI, and how can applicants prepare to address them?

Professionals in Biological AI often encounter challenges such as integrating large, complex biological datasets with machine learning models, ensuring data quality, and keeping pace with rapid advancements in both biology and artificial intelligence. Applicants can prepare by developing strong interdisciplinary skills, staying updated on the latest research, and gaining hands-on experience with data preprocessing and analysis tools commonly used in the field. Collaborating effectively with both biologists and AI specialists is also crucial, as project teams are typically multidisciplinary and require clear communication to bridge knowledge gaps.

What is the difference between Biological Ai vs Bioinformatics Specialist?

AspectBiological AiBioinformatics Specialist
Required CredentialsDegree in Computer Science, Biology, or related fields; knowledge of AI and machine learningDegree in Bioinformatics, Biology, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech companies, healthcare organizations
Industry UsageDeveloping AI models for biological data analysis, drug discoveryAnalyzing biological data, genome sequencing, data management

Biological Ai focuses on applying artificial intelligence techniques to biological data, often involving machine learning models. Bioinformatics Specialists primarily analyze biological data using computational tools. While both roles require a background in biology and programming, Biological Ai emphasizes AI development, whereas Bioinformatics Specialists focus on data analysis and interpretation.

How to become a biological AI specialist?

To become a biological AI specialist, you typically need a strong background in biology, computer science, or related fields, often requiring a bachelor's degree at minimum, with many roles favoring a master's or Ph.D. in areas like computational biology, bioinformatics, or machine learning. Developing skills in programming languages such as Python or R, understanding biological data, and gaining experience with AI tools and algorithms are essential. Certifications in data analysis or AI can also enhance qualifications for this interdisciplinary role.

What other helpful pages are available for Biological Ai?

Other pages related to Biological Ai:

Infographic showing various Biological Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $42,105 per year, or $20.2 per hour.

Member of Technical Staff - Applied AI Engineer

San Francisco, CA • On-site

Valthos
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Re-posted 2 days ago

Job description

Member of Technical Staff - Applied AI Engineer

Valthos | Posted Mar 3

Full-time

Negotiable

Advanced (5-10 yrs)

Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.

Applied AI Engineer Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking a highly skilled, data-centric AI Engineer to develop and apply state-of-the-art ML methods for assessing and responding to biological threats and for rapidly designing precision biologics.

The Role
  • Contribute to crafting and executing on the Valthos-wide research and development roadmap
  • Develop, build, and apply modeling approaches—including adapting and post-training biological frontier models—for tasks in biological security and the design of precision biologics
  • Develop, build, and apply evaluation frameworks to rigorously assess model performance on key tasks
  • Interrogate models to understand their biological learnings, capabilities, and limitations
  • Collaborate closely with computational biologists to understand the signal and artifacts inherent in biological data, and to create and curate datasets
  • Collaborate closely with software engineers to build, deploy, and scale model training and evaluation infrastructure
  • Visualize and communicate results within Valthos and externally
  • Work with customers and external collaborators to understand their needs and be an effective representative of Valthos
  • Embrace learning about areas—technical and non-technical—across Valthos
  • Stay up-to-date on the state-of-the-art methods at the intersection of AI and biology
Qualifications (required)
  • Experience with data-centric development and evaluation of ML models
  • Highly proficient in Python and deep learning libraries (e.g., PyTorch)
  • Experience with cloud computing platforms (e.g., AWS) and distributed systems
  • Strong understanding of probability and statistics
Qualifications (preferred)
  • Proven ability to design, implement, and evaluate new ideas in MLExperience with pre- or post-training language models, developing reasoning agents, and/or time series modeling
  • Experience working with biological data or other types of noisy and heterogenous datasets
  • Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
  • Experience building data pipelining and training infrastructure
  • Contributions to open-source projects

If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.

About the company

Valthos

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