ZipRecruiter

Log In

1

Generative Ai Drug Discovery Jobs (NOW HIRING)

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 ...

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 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 ...

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 · On-site

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 ...

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

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 multimodal data integration. As an AI Research Scientist III, you will contribute to drug design ...

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 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 ...

previous pagenext page

Showing results 21-40

All JobsGenerative Ai Drug Discovery Jobs

Generative Ai Drug Discovery information

See salary details

$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.

More about Generative Ai Drug Discovery jobs

What cities are hiring for Generative Ai Drug Discovery jobs?

Cities with the most Generative Ai Drug Discovery job openings:

What states have the most Generative Ai Drug Discovery jobs?

States with the most job openings for Generative Ai Drug Discovery jobs include:

What job categories do people searching Generative Ai Drug Discovery jobs look for?

The top searched job categories for Generative Ai Drug Discovery jobs are:

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.

Senior/Staff AI Scientist, Antibody Design

Absci Corporation

Remote

$160K - $260K/yr

Full-time

Posted 14 days ago

Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
About the role
Absci is looking for a Senior/Staff AI Scientist to advance and deploy protein design models for antibody drug design. In this role, you will apply your broad expertise across specialized disciplines in AI Drug Discovery. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, drug discovery, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico.
Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics.
This is a remote position, with the option to work onsite at our New York City office or our Vancouver, WA headquarters if located within commuting distance
Why Absci's AI team?
Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics. In particular we:
  • Provide our AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment
  • Maintain our own Wet Lab, enabling AI Scientists to validate novel modeling methods via rapid design > build > test > learn cycles
  • Developed and are growing our own pipeline of clinical-stage assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients

Responsibilities
  • Partner with team members across AI Research, AI Engineering, Computational Biology, and Protein Engineering to achieve success along the following axes:
    • Novel test-time compute strategies that maximize the quality and efficiency of our design pipelines.
    • Multi-objective optimization of therapeutic design goals
    • Solve key challenges of per-target design specification via innovative, AI-driven solutions.
  • Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies
  • Develop, deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design
  • Invest in ensuring work is accessible and interpretable to scientists with other domain expertise.
  • Ability and willingness to learn new technical skills to improve scientific contributions

Qualifications
  • PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
  • 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience.
  • Fluency in Python and PyTorch
  • Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction
  • Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment
  • Demonstrated experience presenting complex technical work to diverse audiences
  • Strong publication record in respected, high-impact journals and conferences

Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact hiring@absci.com.

Apply