34 AI Drug Discovery Companies to Explore for Career Opportunities

Can AI transform the way we discover the next life-saving medication or therapy? And could your next career opportunity be waiting at one of these AI drug discovery companies?

Artificial Intelligence (AI) is reshaping drug discovery, from designing novel proteins and identifying potential drug candidates to advancing precision medicine and genetic therapies. As biotechnology and AI continue to converge, new opportunities are emerging across drug development, bioinformatics, computational biology, machine learning (ML), as well as medicinal chemistry.

If you’re looking out for companies working at the intersection of AI and life sciences, then this list of AI drug discovery companies is a useful place to start. Discover where these companies are located, what they focus on, and how to explore potential career opportunities through their official career pages.

1. AI Drug Discovery Companies in Protein and Antibody Design

Proteins and antibodies play an important role in modern therapeutics, from targeted treatments to biologic medicines. These companies explore how AI and computational design can help researchers create, engineer, and discover new biological molecules.

1. Chai Discovery: A prominent AI Drug Discovery company

Chai Discovery focuses on using AI to advance molecular understanding and biological design. Its work includes AI-powered approaches to designing molecules and antibodies, placing it at the intersection of computational biology and drug discovery.

  • Location: San Francisco, USA
  • Research Focus: AI-based molecule and antibody design

2. Ukko

Ukko works on computational protein design, with a focus on addressing food allergies. Its research combines biotechnology and computational approaches to develop potential solutions for allergy-related conditions.

  • Location: Tel Aviv, Israel
  • Research Focus: Computational protein design for food allergies

3. Profluent: Pioneering AI Drug Discovery Companies in Protein Design

Profluent applies generative AI to protein engineering and design. Its technology aims to support the creation of novel proteins, bringing together machine learning, protein science, and biotechnology.

  • Location: Emeryville, USA
  • Research Focus: Generative protein design

4. Aureka Biotechnologies, Inc.

Aureka Biotechnologies focuses on discovering protein-based therapeutics using AI-driven approaches. Its work brings computational methods into therapeutic discovery and protein engineering.

  • Location: Laguna Hills, USA
  • Research Focus: AI-powered protein therapeutics discovery

5. Latent Labs

Latent Labs works on generative approaches to biological design, particularly the development of proteins. Its research sits at the intersection of AI, computational biology, and therapeutic innovation.

  • Location: London, UK
  • Research Focus: Generative protein design

6. Nabla Bio

Nabla Bio uses generative computational methods to support antibody discovery and design. Its work focuses on applying AI to biological molecules, with potential applications in therapeutic development.

  • Location: Cambridge, Massachusetts, USA
  • Research Focus: Generative antibody design

7. Great Bay Bio (大湾生物)

Great Bay Bio focuses on biotechnology innovation, including AI-supported antibody discovery. Its work brings computational tools into the development of biological therapeutics.

  • Location: Hong Kong
  • Research Focus: AI-powered antibody discovery

8. Galux

Galux applies AI to protein design and related biotechnology research. Its focus connects computational modelling with the development of proteins for potential therapeutic applications.

  • Location: Seoul, South Korea
  • Research Focus: AI-driven protein design

9. Evozyne

Evozyne develops protein-based therapeutics using AI-native approaches to protein engineering. Its research combines computational design and biotechnology to explore new therapeutic possibilities.

  • Location: Chicago, USA
  • Research Focus: AI-native protein therapeutics

2. AI Drug Discovery Companies in Molecular Design and Computational Chemistry

AI is changing how researchers investigate molecular structures, predict interactions, and identify potential drug candidates. AI Drug Discovery Companies in this category combine machine learning, computational chemistry, molecular simulation, and other modelling techniques to support drug discovery.

10. Superluminal Medicines Inc.

Superluminal Medicines uses computational approaches across biology and chemistry to support drug discovery. Its research combines generative methods with scientific modelling to explore potential therapeutic candidates.

  • Location: Boston, USA
  • Research Focus: Generative biology and chemistry

11. MoleculeMind

MoleculeMind focuses on applying AI to the design of new molecules. Its work reflects the growing use of machine learning and computational chemistry to support molecular discovery.

  • Location: Beijing, China
  • Research Focus: AI-based design of new molecules

12. Isomorphic Labs: Amongst One Of The Leading AI Drug Discovery Companies

Isomorphic Labs applies advanced AI to drug discovery, building on computational approaches to understanding biological systems. Its work is associated with DeepMind and focuses on using AI to help accelerate therapeutic research. It is backed by Alphabet and built on advanced AI research

  • Location: London, UK
  • Research Focus: AI-driven drug discovery

13. Achira

Achira works on atomistic models and computational simulations that can help researchers understand molecular behaviour. These approaches support scientific investigation in areas relevant to drug discovery and molecular design.

  • Location: New York, USA
  • Research Focus: Atomistic models for simulation

14. Expedition Medicines

Expedition Medicines focuses on combining quantum chemistry and AI to support drug discovery. Its platform brings computational chemistry approaches into the search for potential therapeutic molecules.

  • Location: Cambridge, Massachusetts, USA
  • Research Focus: Quantum chemistry and AI-based drug discovery

15. Fathom Therapeutics

Fathom Therapeutics, formerly known as Atommap, works at the intersection of quantum chemistry and AI-driven drug design. Its approach uses computational methods to investigate molecular interactions and therapeutic possibilities.

  • Location: New York, USA
  • Research Focus: Quantum chemistry and AI-based drug design

16. TandemAI

TandemAI combines AI with physics-based computational methods for drug discovery. Its work aims to support the identification and development of potential drug candidates.

  • Location: New York, USA
  • Research Focus: AI and physics-based drug discovery

17. Terray Therapeutics: AI Drug Discovery Companies Transforming Drug Development

Terray Therapeutics combines generative AI with high-throughput chemistry to support drug discovery. Its approach brings together computational prediction and experimental data to explore potential therapeutic molecules.

  • Location: Pasadena, USA
  • Research focus: generative AI and high-throughput chemistry.

3. AI Drug Discovery Companies in Cell Biology and Experimental Research

Understanding how cells behave is essential to uncovering disease mechanisms and developing effective treatments. These AI Drug Discovery Companies connect AI with experimental biology, imaging, automation, and biological data to generate insights that may support therapeutic research.

18. Edison Scientific

Edison Scientific focuses on AI tools designed to support scientific research. Its work explores how AI systems can assist researchers in analysing information, generating insights, and advancing scientific discovery.

  • Location: San Francisco, USA
  • Research Focus: AI scientist for research

19. Lila Sciences

Lila Sciences works toward scientific superintelligence by combining AI with experimental science and autonomous laboratory capabilities. Its approach aims to connect computational intelligence with real-world scientific experimentation.

  • Location: Cambridge, Massachusetts, USA
  • Research Focus: Scientific AI and autonomous laboratories

20. Manifold Bio

Manifold Bio applies AI-guided approaches to in vivo drug testing. Its work connects computational analysis with biological experimentation to help researchers understand how potential therapeutics behave in living systems.

  • Location: Boston, USA
  • Research Focus: AI-guided in vivo drug testing

21. Soley Therapeutics

Soley Therapeutics combines cell biology, imaging, AI, and automation to study cellular stress responses. Its platform uses biological data to investigate new therapeutic opportunities.

  • Location: South San Francisco, USA
  • Research Focus: Cell-stress research using imaging, AI, and automation

22. Relation

Relation uses human tissue data and AI-based approaches to support drug discovery. Its work aims to connect insights from human biology with the identification of potential therapeutic opportunities.

  • Location: London, UK
  • Research Focus: AI-driven drug discovery using human tissue data

23. METiS Therapeutics

METiS Therapeutics combines AI and molecular dynamics to support the discovery of new therapeutics. Its approach brings computational modelling into the investigation of molecular behaviour and drug development.

  • Location: Cambridge, Massachusetts, USA
  • Research Focus: AI and molecular dynamics for therapeutic discovery

4. AI Drug Discovery Companies in Genomics and Precision Medicine

Advances in genomics and precision medicine are creating new ways to understand diseases and develop more targeted treatments. The AI Drug Discovery Companies in this category apply AI to biological datasets, cancer research, immune-system analysis, and the design of genetic medicines.

24. Aitia: AI Drug Discovery Companies Advancing Genomics Research

Aitia applies causal AI to biological and multiomics data to investigate disease mechanisms. Its work aims to help researchers better understand complex biology and identify potential therapeutic targets.

  • Location: Cambridge, Massachusetts, USA
  • Research Focus: Causal AI and multiomics data

25. GATC Health: AI Drug Discovery Companies Advancing AI-Powered Drug Discovery

GATC Health develops an AI-based platform for drug discovery and biomedical research. Its approach uses computational analysis to investigate biological systems and support therapeutic development.

  • Location: Irvine, USA
  • Research Focus: AI-powered drug discovery

26. Form Bio

Form Bio uses AI and computational tools to support research and development in genetic medicines. Its work connects data-driven analysis with applications in gene therapy and biotechnology.

  • Location: Austin, USA
  • Research Focus: AI for genetic medicines

27. WhiteLab Genomics

WhiteLab Genomics applies AI to the design and development of genetic medicines. Its work focuses on using computational approaches to support research in gene therapy and related therapeutic technologies.

  • Location: Paris, France
  • Research Focus: AI for designing genetic medicines

28. Pathos

Pathos focuses on AI-driven precision oncology, applying computational methods to cancer research and therapeutic development. Its work aims to support more targeted approaches to understanding and treating cancer.

  • Location: New York, USA
  • Research Focus: AI-driven precision oncology

29. Empress Therapeutics

Empress Therapeutics combines AI and genomics to explore new drug discovery opportunities. Its work focuses on using biological information and computational methods to support therapeutic research.

  • Location: Watertown, USA
  • Research Focus: AI and genomics-based drug discovery

30. Remepy

Remepy works on AI-based approaches to understanding and mapping immune-system activity. Its research connects computational analysis with biological insights that may support the development of new therapeutic strategies.

  • Location: Ramat Gan, Israel
  • Research Focus: AI-based immune-system mapping

5. AI Drug Discovery Companies in Drug Repurposing and Therapeutic Research

Drug discovery isn’t always about creating a new molecule from scratch. AI Drug Discovery can also help researchers investigate existing compounds, uncover potential new therapeutic applications, and build platforms that support faster, data-driven research and development.

31. SOM Biotech

SOM Biotech uses AI-based approaches to identify new therapeutic applications for existing compounds. Drug repurposing can help researchers investigate alternative uses for molecules that have already been studied.

  • Location: Barcelona, Spain
  • Research Focus: AI-driven drug repurposing

32. Healx: AI Drug Discovery Companies Accelerating Rare Disease Research

Healx applies AI to drug repurposing, with a particular focus on rare diseases. Its approach uses data-driven methods to explore potential treatments for conditions that may have limited therapeutic options.

  • Location: Cambridge, UK
  • Research Focus: AI-driven drug repurposing for rare diseases

33. Converge Bio: AI Drug Discovery Companies Using Generative AI

Converge Bio uses generative AI to support drug discovery and biotechnology research. Its approach focuses on applying generative models to scientific challenges and potential therapeutic development.

  • Location: Wilmington, USA
  • Research Focus: Generative AI for drug discovery

34. Alloy Therapeutics, Inc.

Alloy Therapeutics provides platforms and resources that support antibody discovery and therapeutic development. Its work includes AI-enabled approaches alongside broader biotechnology capabilities.

  • Location: Boston, USA
  • Research Focus: Antibody discovery platforms and AI-enabled biotechnology

Explore Opportunities at These Companies

Interested in building a career in AI-driven drug discovery? Here are a few practical steps to help you explore potential openings:

  • Visit the company’s official website and explore its Careers or Join Us page.
  • Search for active Job or internship openings relevant to your research experience, education, and technical skills.
  • Review application deadlines, preferred qualifications, eligibility requirements, and work location.
  • Explore roles related to computational biology, biotechnology, bioinformatics,  molecular modelling, medicinal chemistry, AI/ML, and data science where available.
  • Customioze your CV to highlight research knowledge, laboratory experience, relevant projects, as well as programming and soft skills.
  • Apply through the company’s official recruitment portal and confirm that the vacancy is still open and actively hiring.

Want to Build Skills for AI-Driven Drug Discovery?

Exploring AI drug discovery companies is a great first step. To take the next one, consider building practical skills in AI/ML for drug discovery, biopharma, and cheminformatics through hands-on training and live research projects. Explore the AI/ML in Drug Discovery & Biopharma Training Program and discover how you can start preparing for opportunities at the intersection of AI and life sciences.

Artificial Intelligence is opening new possibilities across genomics, protein engineering, therapeutic development, computational chemistry, and precision medicine. These AI drug discovery companies offer a starting point for exploring organisations working at the intersection of AI and life sciences.

Identify the companies that align with your interests, check their official career pages for current opportunities, as well as review their research focus.

Editorial note: The company list and research descriptions are based on the original list attributed to Grace Gong’s “On My Radar” newsletter, Week 125, and the Harmonic startup database. The categories are editorial groupings, not rankings.