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How much do discovery machine jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for discovery machine in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Discovery Machine vs Data Analyst?

AspectDiscovery MachineData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications like AWS, Azure, or data analysis tools are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are common
Work EnvironmentWorks in tech companies, data-driven industries, often in collaborative teamsWorks across various industries, including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed in technology, software development, and data science companiesUsed across multiple industries for interpreting and visualizing data

The Discovery Machine and Data Analyst roles share overlapping skills in data handling and analysis but differ mainly in technical focus and industry application. Discovery Machines often involve working with AI and machine learning models, while Data Analysts focus on interpreting data to inform business decisions.

More about Discovery Machine jobs
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Discovery Machine jobs near you
Infographic showing various Discovery Machine job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Research Scientist II/Senior, Discovery Machine Learning

Research Scientist II/Senior, Discovery Machine Learning

Iambic

San Diego, CA • On-site

$104K - $133K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
Iambic Therapeutics is a clinical-stage life-science and technology company focused on developing novel medicines using AI-driven discovery technology. They are seeking a skilled Research Scientist II/Senior to join their Discovery Machine Learning group, where the role involves applying advanced machine learning techniques to support drug discovery efforts across multiple therapeutic indications.
Responsibilities:
• Train, fine-tune, and evaluate machine learning models, assessing how they can best be leveraged in a drug-discovery setting and optimizing their performance
• Partner with computational chemists, medicinal chemists and biologists to leverage ML insights for decision-making in high-throughput design-make-test-analyze cycles
• Generate value, internally and for partners, from our machine learning models, and collaborate with other discovery teams to shape their use
• Communicate results with internal drug discovery teams and machine learning scientists and externally with partners
• Support the evolution of our machine learning models by gathering analytical feedback and delivering domain-driven guidance to the machine learning team
Qualifications:
Required:
• PhD or equivalent degree in chemistry or another physical science with 3+ years of experience or commensurate degree and job experience. More junior candidates are welcome to apply, title will reflect experience.
• Familiarity with using statistical analysis techniques to evaluate, troubleshoot, and adapt models in scientific contexts
• Excellent written and verbal communication skills; must be able to articulate complex scientific concepts, technical challenges, and results clearly and concisely to diverse audiences.
• Skills: Python programming, statistics, drug discovery
Preferred:
• PhD or equivalent degree in computational chemistry or machine learning in chemistry
• 3+ years of experience working in a drug discovery project
Company:
Iambic is disrupting the therapeutics landscape with its unique AI-driven drug-discovery platform. Founded in 2019, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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