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Generative Ai Drug Discovery Jobs (NOW HIRING)

Gidget Foundation Australia

$120 - $180/hr

AI DRUG DISCOVERY SCIENTIST Lantern Pharma is seeking talented and highly motivated AI Drug Discovery Scientists to develop innovative approaches supporting Lantern's internal drug development ...

Absci Corp.

$150 - $190/hr

... generative AI. Our Integrated Drug Creation™ platform combines cutting‑edge AI models with a ... discovery, natural language processing, computer vision, and molecular dynamics to develop ...

Transcripta Bio

Scientist, Drug Discovery

Palo Alto, CA · On-site

About Transcripta Bio Transcripta Bio is a preclinical-stage AI drug discovery company pioneering a patient-first approach to therapeutics. Headquartered in Palo Alto, CA, we have built a proprietary ...

Transcripta Bio

Scientist, Drug Discovery

Palo Alto, CA · On-site

$120 - $180/hr

About this position About Transcripta Bio Transcripta Bio is a preclinical-stage AI drug discovery company pioneering a patient-first approach to therapeutics. Headquartered in Palo Alto, CA, we have ...

UAB NOVA RENT

SCIENTIST II

Birmingham, AL · On-site

The Scientist II is expected to contribute meaningfully to obtaining AI drug discovery research funding as a Co-Investigator on grant proposals, to perform SPARC service activities not covered by ...

UAB

SCIENTIST II

Tampa, FL · On-site

The Scientist II is expected to contribute meaningfully to obtaining AI drug discovery research funding as a Co-Investigator on grant proposals, to perform SPARC service activities not covered by ...

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Generative Ai Drug Discovery information

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$30K

$113.1K

$164.5K

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

As of Sep 4, 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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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 Drug Discovery Scientist

Gidget Foundation Australia

Dallas, TX • On-site

$120 - $180/hr

Other

Medical, Dental, Vision

Posted 4 days ago

Job description

AI DRUG DISCOVERY SCIENTIST

Lantern Pharma is seeking talented and highly motivated AI Drug Discovery Scientists to develop innovative approaches supporting Lantern's internal drug development pipeline and externalpartnerships. You will work alongside cutting-edge teams in oncology drug development toaccelerate the path from target to therapy.The ideal candidate will bring innovative thinking to shift paradigms in drug discovery and development, with passion for matching right drugs to right indications faster and morecost-effectively.

RESPONSIBILITIES:
  • Contribute to expanding, selecting, and appropriately applying datasets and AI/ML tools, integrating public and proprietary preclinical and clinical results to understand MOA andtherapeutic potential
  • Analyze complex genomic contexts of cancer biological pathways to inform optimalMOA-indication matching strategies
  • Evaluate chemical and structural features of molecules to support developmentalmodifications for NCEs with improved PK and efficacy
  • Uncover therapeutic potential of existing molecules using AI-driven analysis of drug response pathway interactions
  • Extract actionable insights from preclinical internal and external data sources to guide optimal combinatorial strategies
  • Knowledge of protein engineering and conjugation chemistry that can be applied todevelopment of novel ADCs and other targeted modalities
  • Build and maintain in silico molecule pipelines and infrastructure feeding AI/ML drugdiscovery bench projects
  • Collaborate with clinical and preclinical research teams to support proof-of-concept study designs
  • Contribute to scientific publications and grant applications
REQUIRED QUALIFICATIONS:
  • 3+ years of experience working in AI-directed drug development environments
  • Ph.D. in Computational Biology, Bioinformatics, Computational Chemistry, Cancer Biology, or related field (Bachelor’s or Master’s degree with exceptional experience will also be considered)
  • Publication record in AI-based drug development
  • Demonstrated skills in matching ML-based in silico discovery of cancer drug response pathways and biomarkers to biological relevance
  • Knowledge of genomic and cancer pathway data sources with experience utilizing diverse public biomedical databases for drug response interrogation
PREFERRED QUALIFICATIONS:
  • Experience in drug candidate prioritization within biopharmaceutical settings
  • Strong communication skills for preparing and presenting scientific data to diverse audiences
  • Proficiency in programming languages (Python, R, or similar) and use of in-silico chemistry
  • Experience with grant writing
  • Team leadership or project management experience
  • Familiarity with remote/distributed team collaboration

Salary: Competitive stipend provided based on experience and hours of availability.

Lantern provides multiple growth opportunities and as an early team member, your work will have a direct impact on precision oncology that can transform drug development. In addition to attractive compensation, we offer employees the opportunity for competitive health, dental & vision insurance, stock options in a public company, an opportunity to take leadership on new and meaningful projects, & involvement with leading conferences & industry trade shows.

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