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Machine Learning In Chemistry Jobs (NOW HIRING)

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry ...

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How much do machine learning in chemistry jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning in chemistry in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning In Chemistry vs Data Scientist in Chemistry?

AspectMachine Learning In ChemistryData Scientist in Chemistry
Required CredentialsBackground in chemistry, machine learning, programmingStatistics, programming, domain knowledge in chemistry
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsData analysis teams, research institutions, industry
Industry UsageDeveloping models for chemical properties, drug discoveryAnalyzing chemical data, interpreting results for research

Machine Learning In Chemistry focuses on applying machine learning techniques specifically to chemical data and problems, often requiring chemistry and programming expertise. Data Scientist in Chemistry involves broader data analysis skills within chemical contexts, emphasizing statistical analysis and data interpretation. Both roles overlap in skills but differ in focus and application within the industry.

What cities are hiring for Machine Learning In Chemistry jobs? Cities with the most Machine Learning In Chemistry job openings:
Infographic showing various Machine Learning In Chemistry job openings in the United States as of May 2026, with employment types broken down into 9% As Needed, 27% Full Time, 9% Temporary, and 55% Contract. Highlights an 100% Physical job distribution, with an average salary of $46,292 per year, or $22.3 per hour.

Machine Learning Engineer

Nanite Inc.

Boston, MA • On-site

Full-time

Posted 20 days ago

Job description

Our mission is to deliver the undeliverable.
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.
Essential Functions and Duties
  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications
MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.
Knowledge, Skills, and Abilities
  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):
  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

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