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Generative Ai Drug Discovery Jobs (NOW HIRING)

1910

AI Research Scientist III

Boston, MA · On-site

Job Summary : 1910 is an AI-native biotech company pioneering drug discovery through advanced AI and multimodal data integration. As an AI Research Scientist III, you will contribute to drug design ...

1910

AI Research Scientist III

Boston, MA · On-site

Keep up-to-date on cutting-edge research in the AI for drug discovery space * Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews Qualifications * PhD ...

1910

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at ...

1910

AI Research Scientist II

Boston, MA · On-site

Required : • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) • 2 years of relevant industry experience (AI, Drug Discovery, etc.) • A strong understanding of ...

1910 Genetics

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at ...

1910

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist ...

1910 Genetics

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at ...

1910Genetics

AI Research Scientist I

Boston, MA · On-site

... drug discovery process Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics ...

1910

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at ...

1910

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at ...

1910

AI Research Scientist I

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist I at ...

1910Genetics

AI Research Scientist I

Boston, MA · On-site

... drug discovery process Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics ...

1910

AI Research Scientist III

Boston, MA · On-site

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. As an AI Research Scientist III ...

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Generative Ai Drug Discovery information

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$113.1K

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How much do generative ai drug discovery jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai drug discovery in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a generative AI drug discovery?

A Generative AI Drug Discovery job involves using artificial intelligence models to design and optimize new drug candidates. Professionals in this field leverage machine learning, deep learning, and generative algorithms to predict molecular structures, enhance drug properties, and accelerate early-stage drug discovery. They collaborate with scientists, bioinformaticians, and pharmaceutical experts to improve drug development efficiency and reduce time-to-market. These roles typically require expertise in AI, chemistry, and biology, along with experience in handling large datasets and computational modeling.

What does a generative AI drug discovery professional do?

A Generative AI Drug Discovery professional is typically responsible for designing, developing, and implementing machine learning models that generate and optimize potential drug candidates. On a daily basis, this may involve analyzing large biological datasets, collaborating closely with medicinal chemists and biologists, and iteratively refining AI algorithms to improve the accuracy of predictions. The role often includes presenting findings to cross-functional teams and contributing to scientific publications or patent applications. Working in this role requires balancing technical rigor with creativity, as well as the ability to adapt models to real-world experimental feedback.

What are the key skills and qualifications needed to thrive in generative AI drug discovery?

To excel in Generative AI Drug Discovery, you need a strong background in computational biology, machine learning (especially deep learning), cheminformatics, and a relevant degree such as a PhD or MSc in bioinformatics, computer science, or pharmaceutical sciences. Experience with AI frameworks (such as TensorFlow or PyTorch), molecular modeling software, and familiarity with drug discovery databases are highly valuable. Creative problem-solving, effective collaboration skills, and a passion for lifelong learning help professionals succeed in multidisciplinary research teams. These competencies are crucial for developing novel AI models that accelerate drug candidate identification and enhance the effectiveness of pharmaceutical research.

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What cities are hiring for Generative Ai Drug Discovery jobs?

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Generative Ai Drug Discovery jobs near you
Infographic showing various Generative Ai Drug Discovery job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

AI Research Scientist III

1910

Boston, MA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
1910 is an AI-native biotech company pioneering drug discovery through advanced AI and multimodal data integration. As an AI Research Scientist III, you will contribute to drug design campaigns by applying AI/ML models, mentoring junior researchers, and staying updated on cutting-edge research in the field.
Responsibilities:
• Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline
• Independently apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns
• Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work
• Periodically presenting recent AI research at internal journal clubs
• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions
• Keep up-to-date on cutting-edge research in the AI for drug discovery space
• Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews
Qualifications:
Required:
• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
• 3+ years of relevant industry experience (AI, Drug Discovery, etc.)
• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)
• Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)
• Wet lab validation of at least 2 AI-driven drug discovery initiatives
• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories
• Familiarity with MLOps and DevOps best practices
• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)
• Strong track record of publications of individual research in top-tier AI journals and conferences
• Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts
• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials
Preferred:
• Past experience managing junior AI Research Scientists
Company:
We are the only AI-native biotech pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. Founded in 2018, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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