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Discovery Machine Jobs in Massachusetts (NOW HIRING)

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation. About the Role We are seeking a high-impact Machine ...

New

Dana-Farber Cancer Institute

Qualifications: • PhD scientist with hybrid dry/wet lab hands-on experience in machine learning and antibody discovery and development. A candidate with a M.S. degree and substantial relevant ...

S&P Global

Machine Learning Engineer II

Cambridge, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.

New

Charter Next Generation

Machine Operator

Turners Falls, MA · On-site

$23/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Role From machine operators to maintenance technicians to quality inspectors, our teams help ... Discover our employee ownership program: cnginc.com/careers/employee -ownership * See what makes us ...

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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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For Discovery Machine jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Discovery Machine jobs in Massachusetts look for?

The top searched job categories for Discovery Machine jobs in Massachusetts are:

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Cities in Massachusetts with the most Discovery Machine job openings:

Discovery Machine jobs near you
Infographic showing various Discovery Machine job openings in Massachusetts as of August 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 72% In-person, 6% Hybrid, and 22% Remote job distribution.

Machine Learning Engineer - Computational Drug Discovery

4:59 NewCo, a 5AM Ventures Company

Watertown, MA • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
4:59 NewCo, a 5AM Ventures Company, is focused on developing a pipeline of small molecules to address unmet clinical needs. The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
Responsibilities:
• Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
• Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
• Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
• Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
• Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
• Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
• Hands-on experience developing machine learning systems using PyTorch
• Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
• Ability to communicate effectively with scientific collaborators from non-programming backgrounds
• Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
• We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Preferred:
• Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
• Familiarity with LLM tooling, AI agents, or agent development frameworks
• Background in cheminformatics, computational biology, bioinformatics, or related fields
• Experience working in a startup, research, or other highly iterative technical environment
Company:
4:59 is a hands-on internal effort of 5AM Ventures to discover, incubate, and fund breakthrough science. Founded in , the company is headquartered in Boston, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.

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