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Generative Ai Biology Jobs (NOW HIRING)

C10 Labs

AI BioHub Fellow

Cambridge, MA · On-site

$53K - $72K/yr

... engineering, biology, chemistry, public health, or a related field. • Experience with machine learning, generative AI, data analysis, computational research, or software development. • ...

C10 Labs

$53K - $72K/yr

... biology, chemistry, public health, or a related field. Experience with machine learning, generative AI, data analysis, computational research, or software development. Proficiency in Python and ...

MSD

Sr. Scientist, Generative Protein Design

Cambridge, MA · On-site

$100K - $136K/yr

Our company Discovery Biologics Disruptive Technologies is seeking an exceptional AI/ML protein ... Create de novo therapeutic proteins using structure-guided generative AI and machine learning-based ...

Evozyne

Applied AI Research Fellow

Chicago, IL · On-site +1

Applied AI Research Fellowship At Evozyne Evozyne is one of the few AI-native biotech companies ... generative design under real-world biological constraints. As a Fellow, you will work on ...

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Generative Ai Biology information

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.

How do generative AI biology specialists collaborate with interdisciplinary teams?

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 are the key skills and qualifications needed to thrive as a generative AI biology specialist?

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.

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.

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Generative Ai Biology jobs near you
Infographic showing various Generative 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 Principal Machine Learning Scientist, AI Biology & Translation (AIBT)

F. Hoffmann-La Roche AG

South San Francisco, CA • On-site

$202.80 - $376.60/hr

Other

Posted 18 days ago

Job description

Overview

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.

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.
Qualifications
  • 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; 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.
Compensation

Salary range for this position (South San Francisco, CA) is $202,800 - $376,600. Actual pay will be determined by experience, qualifications, geographic location, and other factors.

Benefits

This position also qualifies for the benefits detailed at the link provided below. Relocation benefits are available for this posting.

Equal Opportunity

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 the Accommodations for Applicants form.

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