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Ai Biology Jobs (NOW HIRING)

Biohub

Staff Research Scientist, AI Safety

New York, NY · On-site +1

$241K - $301K/yr

  • Retirement

  • PTO

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 Research Scientist, AI Safety

Redwood City, CA · On-site +1

$241K - $301K/yr

  • Retirement

  • PTO

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 Research Scientist, AI Safety

New York, NY

$241K - $301K/yr

  • Retirement

  • PTO

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 ...

Helical

Senior Account Executive

Boston, MA · On-site

Senior Account Executive Hybrid | Full-time London | Boston | Luxembourg Helical is building the AI-native lab for biology -- replacing slow, costly wet lab experimentation with scalable, virtual ...

Helical

Senior Account Executive

Boston, MA · On-site +1

Senior Account Executive Hybrid | Full-time London | Boston | Luxembourg Helical is building the AI-native lab for biology - replacing slow, costly wet lab experimentation with scalable, virtual ...

Output Biosciences

AI Technical Recruiter

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

The Role Output has built a biological reasoning model that understands biology at the scale and ... The hardest problems in both AI and biology are being solved here, and there is room for you to own ...

Output, Inc

AI Technical Recruiter

San Francisco, CA · On-site +1

  • Medical

  • Dental

  • Vision

The Role Output has built a biological reasoning model that understands biology at the scale and ... The hardest problems in both AI and biology are being solved here, and there is room for you to own ...

New

Helical

Senior Account Executive

Boston, MA · On-site

Senior Account Executive Hybrid Full-time London Boston Luxembourg Helical is building the AI-native lab for biology - replacing slow, costly wet lab experimentation with scalable, virtual discovery.

Absentia Labs

Member of the Technical Staff

Boston, MA · Remote

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about ...

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Showing results 21-40

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Ai Biology information

What is an AI biology?

An AI Biology job involves using artificial intelligence, machine learning, and computational models to analyze biological data and solve complex problems in life sciences. Professionals in this field work on tasks such as drug discovery, genomics, bioinformatics, and medical diagnostics by leveraging AI-powered tools. They collaborate with biologists, data scientists, and engineers to develop predictive models, automate research processes, and enhance our understanding of biological systems. This interdisciplinary role requires expertise in biology, programming, and data analysis to drive innovations in healthcare and biotechnology.

What does an AI biology do?

In an AI Biology role, you will typically spend your days developing algorithms to analyze biological data, collaborating with researchers to interpret results, and building predictive models to address biological questions. Your work may also include curating large datasets, writing and optimizing code, documenting your methods, and presenting findings to other scientists or stakeholders. It is common to operate in a cross-functional environment, working alongside professionals in biology, data science, and software engineering. This dynamic role requires both independent problem-solving and teamwork to drive innovation in biological research and healthcare applications.

What are the key skills and qualifications needed to thrive in the AI biology position, and why are they important?

To excel in AI Biology, you need a strong background in computational biology, machine learning, and molecular biology, often demonstrated through an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with genomic data analysis tools, and proficiency in handling large biological datasets are crucial, along with relevant certifications like Certified Bioinformatics Professional (CBP). Strong problem-solving abilities, teamwork, and effective communication skills help you bridge the gap between biology and data science while working collaboratively with multidisciplinary teams. These skills enable you to develop innovative AI-driven solutions and extract meaningful insights from complex biological data, driving scientific discovery and real-world applications.

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Ai Biology jobs near you
Infographic showing various Ai Biology job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Senior Machine Learning Engineer, Agentic Science/Generative Models, AI for Biology & Translation (A

Genentech, Inc.

South San Francisco, CA • On-site

$168K - $312K/yr

Full-time

Posted 10 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
The AI Biology & Translation (AIBT) department within Genentech's Computational Sciences Center of Excellence (CS-CoE) is building the next generation of AI systems for biology. Our mission is to develop AI models that learn from biological data at unprecedented scale, generating new insights into disease mechanisms, therapeutic opportunities, and human biology. We seek a highly motivated and passionate Senior ML Engineer to join our Generative Modeling team and help build and scale foundation models and agentic systems for therapeutic discovery. The successful candidate will contribute to the design, development, and scaling of large-scale foundation models and AI agents, with the ultimate aim of accelerating target and drug discovery. This role spans the full stack: the agent design and orchestration logic that makes these systems scientifically useful, and the infrastructure, AgentOps, and MLOps that make them robust, reproducible, and efficient at scale. Depending on team coverage at a given time, you may own infrastructure end-to-end or partner with platform engineering on it, this role needs someone comfortable doing either. You'll join a multidisciplinary environment alongside ML scientists, ML engineers, and computational biologists. The ideal candidate combines strong software and ML engineering skills, a systems mindset, fluency in how agentic systems are actually built and evaluated, and a "get-it-done" attitude.
In this role, you will:
Agentic systems
  • Build agents that use tools, retrieve evidence, and reason across multi-step scientific workflows
  • Build reliable interfaces between agents and biological, genomic, and clinical data sources
  • Design evaluation harnesses that check agent output against scientific ground truth
  • Design and implement self-improving and autonomous loops for autoML and lab in the loop
  • Implement agent memory and context management for long-horizon workflows

Models and production systems
  • Build, finetune, deploy, and scale foundation models and LLMs in production
  • Own production Python/PyTorch (or JAX) codebases that turn fast-moving research ideas into reliable, reusable software
  • Own the MLOps/AgentOps lifecycle: experiment tracking, evaluation, monitoring, reproducibility, CI/CD, and infrastructure-as-code (Terraform, Helm, Kubernetes)

Collaboration
  • Work with research scientists to turn open-ended scientific problems into scoped, shippable systems
  • Raise the engineering bar across gRED and Roche

Who you are
  • BS/MS in CS, ML, engineering, or a related quantitative field
  • 5+ years building and shipping ML systems in industry
  • Excellent Python; strong software and data engineering fundamentals (Git, automated testing, CI/CD, documentation)
  • Track record leading technical projects end to end
  • Comfort with ambiguity and close collaboration with scientists
  • Strong problem-solving and communication skills
  • Interest or experience in applying ML to scientific discovery (AI for science), such as biology, chemistry, or drug discovery, including working with domain-specific data and models.

Preferred
  • Inference-time scaling and optimization: test-time compute, sampling and search strategies, model routing, batching, caching, latency/cost/quality tradeoffs
  • ML infrastructure on AWS (EC2, S3, EKS, SageMaker), including distributed training and inference on HPC
  • Evaluation systems for agentic applications where correctness is scientifically defined
  • Agent orchestration frameworks in production (LangGraph, MCP-based tool integration)

Relocation benefits are NOT available for this job posting
The expected salary range for this position based on the primary location of San Francisco is $168,100 - 312,300 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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