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Discovery Machine Jobs (NOW HIRING)

Spanset Inc

Machine Operator

Sanford, NC · On-site

$14/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Responsibilities Set up machines (calibration, cleaning etc.) to start a production cycle Control ...

Spanset Inc

Machine Operator

Sanford, NC · On-site

$14/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Responsibilities Set up machines (calibration, cleaning etc.) to start a production cycle Control ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements. * Develop and integrate machine learning models ...

Stahl Specialty Company

MACHINE OPERATOR

Kingsville, MO · On-site

$16 - $19.25/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Set up machines (calibration, cleaning etc.) to start a production cycle * Control and adjust ...

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How much do discovery machine jobs pay per hour?

As of Aug 14, 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.

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Discovery Machine jobs near you
Infographic showing various Discovery Machine job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.

Senior Machine Learning Scientist II, Drug Discovery Analytics

Revolution Medicines

Redwood City, CA • On-site

$112K - $153K/yr

Full-time

Posted 24 days ago

Job description

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
  • We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence. This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.
  • The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research. This position requires both strong machine learning expertise and the ability to collaborate effectively with experimental scientists to solve real-world scientific problems.
  • The successful candidate will contribute to building a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform and accelerate one another.

Key responsibilities include:
  • Develop Predictive Models for Drug Discovery
  • Independently Design and implement machine learning models to predict compound activity, selectivity, and developability.
  • Identify and Develop predictive frameworks for ADME/Tox, target engagement, and phenotypic screening outcomes.
  • Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.
  • Evaluate model performance and apply appropriate validation strategies.
  • Work with data engineers and ML engineers to integrate models into discovery pipelines.
  • Analyze Complex Scientific Data.
  • Perform exploratory data analysis on chemical, biological, and phenotypic datasets.
  • Integrate heterogeneous datasets including:
  • Chemical structure and screening data.
  • Structural biology and molecular simulation outputs.
  • Collaborate with Research Scientists.
  • Partner with medicinal chemists to support compound design and lead optimization.
  • Work with biologists to interpret experimental results and identify new target opportunities.
  • Translate scientific questions into computational modeling strategies.

Required Skills, Experience and Education:
  • PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field.
  • 6-10 years experience applying machine learning or advanced analytics to scientific datasets.
  • Python and scientific computing libraries (NumPy, Pandas, SciPy).
  • Machine learning frameworks (PyTorch, TensorFlow, scikit-learn).
  • Model development, validation, and evaluation methods.
  • Data visualization and exploratory analysis.
  • Experience working with noisy and incomplete experimental datasets.

Preferred Skills:
  • Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).
  • Multi-omics data analysis.
  • Cloud computing environments.
  • MLOps or scalable model deployment.

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range
$251,000-$295,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.

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