ZipRecruiter

Log In

1

Generative Ai Biology Jobs (NOW HIRING)

GenBio AI

Research Scientist Intern

Palo Alto, CA

$8.0K - $10K/mo

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. * You will work with the team to conduct cutting-edge AI and ...

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8.0K - $10K/mo

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. * You will work with the team to conduct cutting-edge AI and ...

GenBio AI

Research Engineer Intern

Palo Alto, CA

$8.0K - $10K/mo

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. * You will work with the team to conduct cutting-edge research ...

GenBio AI

Research Engineer Intern

Palo Alto, CA · On-site

$8.0K - $10K/mo

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. * You will work with the team to conduct cutting-edge research ...

GenBio AI

Accounting Manager

Palo Alto, CA · On-site

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. We are seeking a skilled Accountant focusing on the US market ...

GenBio AI

Accounting Manager

Palo Alto, CA · On-site

$100K - $175K/yr

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. We are seeking a skilled Accountant focusing on the US market ...

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

Our teams apply AI to develop novel therapies within complex biological systems where data is ... generative design under real‑world biological constraints. As a Fellow, you will work on ...

GenBio AI

Accounting Manager

Palo Alto, CA

$100K - $175K/yr

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. We are seeking a skilled Accountant focusing on the US market ...

EpiVax

AI/ML Scientist

Providence, RI · On-site

... generative AI and Large Language Models * Strong understanding of statistical modeling, feature engineering, and model interpretability * Intermediate understanding of immunology, biology, or ...

EpiVax

AI/ML Scientist

Providence, RI · On-site

... generative AI and Large Language Models * Strong understanding of statistical modeling, feature engineering, and model interpretability * Intermediate understanding of immunology, biology, or ...

next page

Showing results 1-20

All JobsGenerative Ai Biology Jobs

Generative Ai Biology information

What is the difference between Generative Ai Biology vs Bioinformatics Specialist?

AspectGenerative Ai BiologyBioinformatics Specialist
Required CredentialsDegree in Biology, Computer Science, or related fields; knowledge of AI and machine learningDegree in Bioinformatics, Biology, Computer Science; proficiency in data analysis and programming
Work EnvironmentResearch labs, biotech companies, AI-focused startupsResearch institutions, healthcare, biotech firms, academia
Industry UsageDeveloping AI models to generate biological data, simulate biological processesAnalyzing biological data, developing algorithms for genomics and proteomics

Generative Ai Biology focuses on creating AI models that generate or simulate biological data, combining biology and AI expertise. In contrast, Bioinformatics Specialists analyze biological data using computational tools. Both roles require strong backgrounds in biology and programming, but their core functions differ: one emphasizes AI model development, the other data analysis.

How do professionals in Generative AI Biology typically collaborate with interdisciplinary teams to advance research and product development?

In Generative AI Biology, collaboration with interdisciplinary teams is crucial for success. Professionals often work closely with computational scientists, bioinformaticians, biologists, and data engineers to design experiments, validate AI-generated predictions, and interpret complex datasets. Regular meetings and collaborative platforms facilitate knowledge sharing, ensuring that AI models are both biologically relevant and technically robust. This dynamic team environment fosters innovation and enables professionals to contribute to both scientific discovery and product-driven applications.

What is Generative AI in Biology?

Generative AI in biology refers to the use of artificial intelligence models, particularly generative models like deep learning neural networks, to create new biological data or simulate biological processes. These models can design novel proteins, predict molecular structures, and generate hypotheses for drug discovery. By leveraging large datasets and advanced algorithms, generative AI is accelerating research in genomics, synthetic biology, and personalized medicine. This technology is transforming how scientists approach complex biological problems and is rapidly becoming a vital tool in biotech and pharmaceutical industries.

What are the key skills and qualifications needed to thrive as a Generative AI Biology specialist, and why are they important?

To thrive as a Generative AI Biology specialist, you need a strong foundation in computational biology, machine learning, and life sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with bioinformatics tools and databases are essential. Strong problem-solving abilities, interdisciplinary communication, and creativity help you bridge gaps between AI technology and biological research. These skills enable you to develop innovative models and solutions that drive advancements in biological discovery and healthcare.
More about Generative Ai Biology jobs
What cities are hiring for Generative Ai Biology jobs? Cities with the most Generative Ai Biology job openings:
What states have the most Generative Ai Biology jobs? States with the most job openings for Generative Ai Biology jobs include:
What job categories do people searching Generative Ai Biology jobs look for? The top searched job categories for Generative Ai Biology jobs are:
Generative Ai Biology jobs near you
Infographic showing various Generative Ai Biology job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Senior Principal Machine Learning Scientist, AI Biology & Translation (AIBT)

Senior Principal Machine Learning Scientist, AI Biology & Translation (AIBT)

Genentech, Inc.

South San Francisco, CA • On-site

$202K - $376K/yr

Full-time

Posted 6 days ago

Genentech rating

9.0

Company rating: 9.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

7th of 71 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 this 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 are seeking an exceptional scientist to lead a research program focused on Genomics AI and Biological Foundation Models. This role is ideal for a researcher with a strong track record in machine learning, sequence modeling, regulatory genomics, and representation learning who is excited about advancing the frontier of AI for biology.
As a Senior Principal Scientist, you will lead a team developing AI models that learn from genomic sequence, gene regulation, cellular state, perturbational biology, and multimodal biological data. You will help define Genentech's strategy for applying modern machine learning to biological discovery and establish new capabilities that accelerate therapeutic innovation across the R&D portfolio.
Key Responsibilities:
  • Lead Genomics AI Strategy: Define the scientific roadmap and strategy for genomics foundation models to accelerate therapeutic innovation across Genentech's portfolio.
  • Advance AI Methodology: Develop state-of-the-art sequence modeling, self-supervised learning, and generative models using multimodal biological data (genomics, chromatin state, cellular context).
  • Drive Biological Discovery: Partner with experimental groups to translate machine learning innovation into insights for target discovery and disease understanding.
  • Influence Organizational Direction: Serve as a scientific leader within AIBT to shape Genentech's long-term AI-for-biology strategy.
  • Publish & Present: Maintain scientific excellence by publishing in top-tier ML/genomics venues and representing Genentech at global conferences.
  • Evaluate Emerging Tech: Assess cutting-edge advancements in machine learning to identify new opportunities for transformative scientific impact.
  • Mentor Teams: Lead and mentor a team of scientists, fostering a culture of innovation, excellence, and collaboration.

Who you are
Required:
  • Education: PhD in Computer Science, Machine Learning, Computational Biology, Physics, or a related quantitative field.
  • Experience: Minimum 7 years of post-PhD research experience developing innovative AI/ML methods to advance biological discovery.
  • Technical Expertise: Deep knowledge of foundation models, sequence modeling, self-supervised learning, generative AI, or multimodal ML, and expertise in gene regulation, epigenomics, functional genomics, regulatory biology, or cellular systems biology
  • Publication Track Record: Strong history of publishing novel computational methods in leading AI, machine learning, or genomics venues.
  • Leadership: Proven ability to lead complex scientific initiatives and influence across multiple disciplines.
  • Field Impact: Recognition via influential publications, open-source software, invited presentations, or patents that have shaped the field.

Relocation benefits are available for this job posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $202,800 - $376,600. 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.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Genentech logo

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

Social media

FacebookTwitter

View All Genentech Jobs

Apply