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Chemistry Data Science Internship Jobs (NOW HIRING)

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Pfizer

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

MLCS supports medicinal chemistry and drug design teams by enabling data-driven decision making, scalable cheminformatics platforms, and impactful scientific applications across the discovery ...

Pfizer, Inc.

Senior Computational Chemist

La Jolla, CA · On-site

$106K - $176K/yr

MLCS supports medicinal chemistry and drug design teams by enabling data-driven decision making, scalable cheminformatics platforms, and impactful scientific applications across the discovery ...

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Chemistry Data Science Internship information

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How much do chemistry data science internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for chemistry data science internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can I expect during a chemistry data science internship?

As a Chemistry Data Science Intern, you can expect to work on projects that combine chemical research with advanced data analysis techniques. Typical responsibilities include cleaning and analyzing large datasets from laboratory experiments or chemical databases, developing predictive models to understand chemical properties or reactions, and visualizing results to support research findings. You may also collaborate with chemists, data scientists, and software engineers, contributing to interdisciplinary teams on tasks such as automating data collection or optimizing experimental design. This hands-on experience helps develop both your scientific and computational skills, preparing you for future roles in research or industry.

What are the key skills and qualifications needed to thrive as a chemistry data science intern, and why are they important?

To thrive as a Chemistry Data Science Intern, you need a solid background in chemistry, statistics, and data analysis, often supported by ongoing or completed coursework in chemistry and data science. Familiarity with programming languages like Python or R, data visualization tools, and experience using cheminformatics software are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help interns draw actionable insights and collaborate with multidisciplinary teams. These skills are essential for turning complex chemical data into meaningful conclusions that advance research and innovation.

What is a chemistry data science internship?

A Chemistry Data Science Internship is a temporary position designed for students or recent graduates to gain practical experience at the intersection of chemistry and data science. Interns typically work on projects involving the analysis of chemical data, application of machine learning techniques to chemical problems, and development of software tools to aid research. This role helps interns develop skills in programming, statistics, and scientific research, while contributing to advancements in areas like drug discovery, materials science, or environmental chemistry. The internship provides valuable hands-on experience and often serves as a stepping stone to careers in research, industry, or academia.

What is the difference between Chemistry Data Science Internship vs Chemistry Data Analyst?

AspectChemistry Data Science InternshipChemistry Data Analyst
Required CredentialsUndergraduate or graduate degree in chemistry, data science, or related fieldsBachelor's degree in chemistry, data analysis, or related fields
Work EnvironmentResearch labs, corporate R&D, or academic settingsCorporate, laboratory, or research environments
Industry UsageUsed for training, skill development, and project workUsed for interpreting data, reporting, and decision-making

The Chemistry Data Science Internship focuses on training and skill development in applying data science techniques to chemistry problems, often for students or early-career professionals. In contrast, the Chemistry Data Analyst role involves analyzing chemical data to support research or business decisions, typically requiring more experience. Both roles are common in research and industry, but internships are more educational, while analyst positions are more operational.

More about Chemistry Data Science Internship jobs
What cities are hiring for Chemistry Data Science Internship jobs? Cities with the most Chemistry Data Science Internship job openings:
What are the most commonly searched types of Chemistry Data Science jobs? The most popular types of Chemistry Data Science jobs are:
What states have the most Chemistry Data Science Internship jobs? States with the most job openings for Chemistry Data Science Internship jobs include:
What job categories do people searching Chemistry Data Science Internship jobs look for? The top searched job categories for Chemistry Data Science Internship jobs are:
Chemistry Data Science Internship jobs near you
Infographic showing various Chemistry Data Science Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Internship (Governance)

MHI

Lake Mary, FL • On-site

Internship

Re-posted 15 days ago

Job description

Data Science Associate (Governance)
Company Overview
At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.
Role Overview
We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and controls activities across the organization. This early-career role is designed for candidates interested in applying data science, automation, and emerging technologies to improve assurance effectiveness, enhance control monitoring, and advance the use of continuous, risk-focused oversight.
Key Responsibilities
  • Design, develop, and execute data analytics to support compliance reviews, audits, governance and testing
  • Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
  • Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
  • Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
  • Support Compliance, J-SOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
  • Evaluate control design and operating effectiveness using data-driven techniques
  • Ensure analytics are traceable, defensible, and aligned with assurance standards
  • Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders

Other Duties & Responsibilities
  • Comply with all security, ethics, confidentiality, and data governance requirements
  • Support development of reusable analytics, templates, and documentation to scale analytics capabilities
  • Contribute to continuous improvement initiatives within Compliance, Legal, Assurance and Governance related functions
  • Communicate findings clearly and effectively with peers, management, and stakeholders
  • Maintain the highest level of integrity, professionalism, and accountability
  • Perform other related duties as required

Learning Outcomes
  • Exposure to Compliance, Legal, Internal Audit, risk management, and controls assurance processes
  • Hands-on experience applying data science to real-world business, governance and compliance challenges
  • Development of analytics, automation, and continuous monitoring solutions
  • Experience working cross-functionally with different teams
  • Mentorship and professional development within assurance and analytics disciplines

Requirements
  • Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with at least one modern programming language; Python preferred
  • Working knowledge of data analysis tools, databases, and Microsoft Office applications
  • Ability to interpret technical and business documentation and communicate findings effectively
  • Adaptable, curious, and proactive mindset with interest in a 1-2 year development experience
  • Ability to meet physical requirements including standing, walking, bending, and lifting up to 25-50 pounds in varying environments

Mitsubishi is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.

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