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Generative Ai Drug Discovery Jobs (NOW HIRING)

1910

AI Research Scientist I

Boston, MA · On-site

Job Summary : 1910 is the only AI-native biotech, pioneering small and large molecule therapeutics discovery. As an AI Research Scientist I, you will contribute to drug design campaigns by applying ...

1910

AI Research Scientist I

Boston, MA · On-site

Job Summary : 1910 is an AI-native biotech company pioneering drug discovery through advanced AI models and automation. As an AI Research Scientist I, you will contribute to drug design campaigns by ...

1910

AI Research Scientist I

Boston, MA · On-site

Job Summary : 1910 is an AI-native biotech company pioneering drug discovery through advanced AI models and automation. As an AI Research Scientist I, you will contribute as an Individual Contributor ...

Absci Corp.

$150 - $210/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 ...

University of Alabama at Birmingham

SCIENTIST II

Tampa, FL · On-site

$74.10 - $120.70/hr

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 ...

1910

AI Research Scientist I

Boston, MA

Learn how a molecule processes through the drug discovery process * Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to ...

University of Georgia- FACS

$90 - $150/hr

Our goal is to supercharge the discovery of next-generation biologics and accelerate AI drug design. We collaborate with leading pharmaceutical companies, AI drug discovery startups, and academic ...

1910

AI Research Scientist II

Boston, MA · On-site

Job Summary : 1910 is the only AI-native biotech pioneering drug discovery through advanced AI and multimodal data integration. As an AI Research Scientist II, you will develop and prototype AI ...

1910

AI Research Scientist II

Boston, MA · On-site

Job Summary : 1910genetics is an AI-native biotech company pioneering drug discovery through advanced AI and machine learning technologies. As an AI Research Scientist II, you will prototype AI ...

1910

AI Research Scientist II

Boston, MA

Keep up-to-date on cutting-edge research in the AI for drug discovery space Qualifications * PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * 2 years of relevant industry ...

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 automation. As an AI Research Scientist III, you will develop and apply AI/ML solutions to enhance ...

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Showing results 21-40

All JobsGenerative Ai Drug Discovery Jobs

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 5, 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 states have the most 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.

Research Scientist - Protein Design & Analysis

AZBio Board

Scottsdale, AZ • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

About SPOC Biosciences

SPOC Biosciences is building the next-generation drug discovery & lab-in-the-loop protein design platform that integrates on-chip protein synthesis, high-resolution kinetic measurements and best in class engineering & automation. Our goal is to supercharge the discovery of next-generation biologics and accelerate AI drug design.

We collaborate with leading pharmaceutical companies, AI drug discovery startups, and academic institutions to advance therapeutics development.

Role Overview

We are seeking a motivated and hands-on Research Scientist (PhD or Postdoctoral level) with strong training in protein biochemistry and molecular biology. This role requires independent scientific judgment, strong assay development skills, and ability to work in a fast-paced startup environment. This role is ideal for recent PhD graduates or postdocs who are excited to apply rigorous experimental science to AI-enabled drug discovery.

You will work closely with senior scientists to:

  • Design and execute high throughput protein characterization experiments
  • Develop and optimize binding assays (including SPR and related platforms)
  • Generate high quality quantitative interaction data sets
  • Contribute to validation of AI-designed protein and antibody binders
  • Analyze experimental data and produce high quality visualization and reports
Required Qualifications
  • PhD in Molecular Biology, Biochemistry, Bioengineering, Protein Engineering, or related field (recent graduates with relevant experience are encouraged to apply)
  • Wet lab experience in molecular biology and biochemistry, with particular emphasis on independent assay design
  • Experience studying or computational modeling of protein-protein or protein-antibody interactions
  • Strong foundation in experimental design and data analysis
  • Demonstrated ability to work independently in a fast-paced environment
  • Strong written and verbal communication skills
  • Postdoctoral research experience is welcomed but not required.
Nice to Have
  • Experience with Surface Plasmon Resonance (SPR) or other quantitative binding techniques
  • Familiarity with high-throughput assay development
  • Exposure to De novo AI design of protein or antibody binders
  • Expression and characterization of membrane proteins and/or PTMs
  • Computational protein modelling and Analysis
  • Basic programming (Python, R, or similar) & use of AI coding tools
What You’ll Gain
  • Direct experience at the intersection of experimental protein science and AI-driven design
  • Mentorship from experienced scientists and startup leadership
  • Exposure to collaborations with pharma and leading AI drug discovery companies
  • Opportunity to contribute to publications and high-impact scientific outputs
  • Fast learning curve in a growing biotech startup
Compensation & Benefits
  • Competitive salary based on experience
  • Equity (stock options)
  • Company-paid medical, dental, vision, and life insurance
  • 401(k) with 3% company match
  • Onsite fitness center
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