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Drug Design Jobs (NOW HIRING)

1910

AI Research Scientist I

Boston, MA

Apply productized AI and Machine Learning models to advance 1910's active drug design campaignswith the support of senior members of the AI Research Team * Write and publish peer reviewed scientific ...

1910

AI Research Scientist II

Boston, MA

Apply productized AI and Machine Learning models to advance 1910's active drug design campaignswith minimal support from senior members of the AI Research Team * Write and publish peer reviewed ...

1910

AI Research Scientist III

Boston, MA

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 ...

Inceptive

Internship

Palo Alto, CA

$108K/yr

Inceptive is a start-up of 40+ AI researchers, biologists, and engineers on a mission to apply generative AI to the most impactful problems in drug design. Our team is deeply antedisciplinary ...

1910

AI Research Scientist II

Boston, MA · On-site

As an AI Research Scientist II, you will prototype AI and Machine Learning solutions, advance drug design campaigns, and contribute to scientific literature while collaborating with a cross ...

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How much do drug design jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for drug design in the United States is $17.39, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Drug Design, and why are they important?

To excel in Drug Design, a strong background in chemistry, biology, pharmacology, and often a graduate degree in a related field are essential. Familiarity with molecular modeling software, cheminformatics tools, and high-throughput screening systems is typically required. Analytical thinking, creativity, and effective teamwork are crucial soft skills for identifying novel drug candidates and collaborating across disciplines. These skills enable the efficient development of safe, effective pharmaceuticals in a complex and highly regulated industry.

What are some common challenges faced by professionals working in drug design teams?

Professionals in drug design often encounter challenges such as balancing innovation with regulatory requirements and managing the complexity of biological systems. Collaborating with interdisciplinary teams—including chemists, biologists, and computational scientists—can require strong communication skills to align on goals and methodologies. Additionally, tight project timelines and the need to iterate on compound structures based on early testing results are frequent hurdles. Staying updated with the latest technologies and methodologies is also essential for success in this rapidly evolving field.

What is the difference between Drug Design vs Medicinal Chemist?

AspectDrug DesignMedicinal Chemist
Required CredentialsDegree in Chemistry, Pharmacology, or related fields; often advanced degreesDegree in Chemistry, Organic Chemistry, or related fields; often advanced degrees
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsResearch labs, pharmaceutical companies, biotech firms
Industry UsageFocuses on designing new drug candidates using computational and experimental methodsFocuses on synthesizing and optimizing chemical compounds for drugs

Drug Design and Medicinal Chemist roles overlap significantly, with both working in pharmaceutical research and requiring similar educational backgrounds. Drug Design emphasizes the conceptual creation of new drugs, often using computational tools, while Medicinal Chemists focus on synthesizing and refining these compounds. Both careers are vital in drug development and frequently searched together by professionals interested in pharmaceutical innovation.

What is drug design?

Drug design is the process of discovering and developing new medications based on the knowledge of biological targets. Scientists use techniques like computer modeling and chemical analysis to create molecules that interact specifically with proteins or enzymes involved in diseases. This approach helps to optimize the effectiveness and safety of new drugs before they are synthesized and tested in the laboratory. Drug design plays a crucial role in developing targeted therapies and accelerating the drug discovery process.
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Drug Design jobs near you
Infographic showing various Drug Design job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,177 per year, or $17.4 per hour.

AI Research Scientist I

1910

Boston, MA

Other

Posted 11 days ago

Job description

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models.  

Role Description 

  • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline 
  • Apply productized AI and Machine Learning models to advance 1910's active drug design campaignswith the support of senior members of the AI Research Team  
  • Write and publish peer reviewed scientific articleswith the support of senior members of the AI Research Team 
  • Periodically presenting recent AI research at internal journal clubs 
  • 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 answer cheminformatics and bioinformatics questions  
  • 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.) 
  • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) 
  • Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.) 
  • 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.) 
  • 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 

Nice to Haves 

  • An understanding of how a molecule progresses through the drug discovery process 
  • Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) 

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