ZipRecruiter

Log In

1

Internship Chemical Engineering Data Science Jobs

Envirogen

Chemical Engineer

Henderson, NV · On-site

As a Chemical Engineer at Envirogen, you will work closely with other engineers and scientists to ... integrate chemical engineering solutions in full-scale plants. * Analyze process data and ...

Envirogen

Chemical Engineer

Henderson, NV · On-site

As a Chemical Engineer at Envirogen, you will work closely with other engineers and scientists to ... integrate chemical engineering solutions in full-scale plants. * Analyze process data and ...

Envirogen

Chemical Engineer

Henderson, NV · On-site

As a Chemical Engineer at Envirogen, you will work closely with other engineers and scientists to ... integrate chemical engineering solutions in full-scale plants. * Analyze process data and ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Addison Group

Chemical Engineering Analyst

Sardis, MS

$50K - $70K/yr

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

Talen Energy

Senior Engineer - Chemical

Colstrip, MT

... available data to support project scope development, and preparation of outage reports. Develops ... Employs limited knowledge of engineering theory, mathematics, and the physical sciences. Performs ...

Talen Energy

Senior Engineer - Chemical

Colstrip, MT · On-site

... available data to support project scope development, and preparation of outage reports. Develops ... Employs limited knowledge of engineering theory, mathematics, and the physical sciences. Performs ...

Talen Energy

Senior Engineer - Chemical

Colstrip, MT · On-site

... available data to support project scope development, and preparation of outage reports. Develops ... Employs limited knowledge of engineering theory, mathematics, and the physical sciences. Performs ...

next page

Showing results 1-20

All JobsInternship Chemical Engineering Data Science Jobs

Internship Chemical Engineering Data Science information

See salary details

$12

$22

$42

How much do internship chemical engineering data science jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship chemical engineering data science 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 can an intern expect to work on in a Chemical Engineering Data Science internship?

As a Chemical Engineering Data Science intern, you can expect to work on projects that combine data analysis with chemical process optimization. Typical tasks may include analyzing large datasets from lab experiments or manufacturing systems, developing predictive models for process improvement, and visualizing data to support decision-making. Interns often collaborate closely with chemical engineers, data scientists, and production teams, gaining exposure to both technical and practical aspects of the field. This hands-on experience can provide valuable insights into how data science drives innovation in chemical engineering.

What is an Internship in Chemical Engineering Data Science?

An internship in Chemical Engineering Data Science is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques to chemical engineering problems. Interns work on projects involving data analysis, modeling, and simulation to optimize processes, improve efficiency, or solve real-world challenges in fields such as energy, pharmaceuticals, or manufacturing. This role provides valuable exposure to both chemical engineering concepts and advanced data science tools, preparing interns for careers at the intersection of these disciplines.

What is the difference between Internship Chemical Engineering Data Science vs Internship Chemical Engineering?

AspectInternship Chemical Engineering Data ScienceInternship Chemical Engineering
Required CredentialsRelevant coursework in chemical engineering and data science, possibly some programming skillsBasic chemical engineering knowledge, possibly some engineering coursework
Work EnvironmentData analysis labs, software development environments, research teamsProcess plants, laboratories, manufacturing facilities
Employer & Industry UsageTech companies, consulting firms, R&D departments in chemical industriesChemical plants, manufacturing companies, energy sectors

Internship Chemical Engineering Data Science focuses on applying data analysis and programming skills to chemical engineering problems, often in tech-driven environments. In contrast, Internship Chemical Engineering emphasizes traditional chemical processes and manufacturing. Both roles require foundational chemical engineering knowledge but differ in technical focus and work settings.

What are the key skills and qualifications needed to thrive as an Internship Chemical Engineering Data Science, and why are they important?

To excel in an Internship in Chemical Engineering Data Science, you typically need a background in chemical engineering, strong analytical abilities, and foundational knowledge of data analysis and statistics. Familiarity with programming languages such as Python or R, data visualization tools, and simulation software is often required. Effective communication, problem-solving skills, and the ability to collaborate within multidisciplinary teams set top candidates apart. These competencies are crucial for interpreting complex data, developing innovative solutions, and contributing to data-driven decision-making in engineering projects.
More about Internship Chemical Engineering Data Science jobs
What cities are hiring for Internship Chemical Engineering Data Science jobs? Cities with the most Internship Chemical Engineering Data Science job openings:
What are the most commonly searched types of Chemical Engineering Data Science jobs? The most popular types of Chemical Engineering Data Science jobs are:
What states have the most Internship Chemical Engineering Data Science jobs? States with the most job openings for Internship Chemical Engineering Data Science jobs include:
What job categories do people searching Internship Chemical Engineering Data Science jobs look for? The top searched job categories for Internship Chemical Engineering Data Science jobs are:
Internship Chemical Engineering Data Science jobs near you
Infographic showing various Internship Chemical Engineering Data Science job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Director, Process Data Science and Statistics lead

Director, Process Data Science and Statistics lead

AstraZeneca

Santa Monica, CA • On-site

Full-time

Posted 12 days ago

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical

Job description

We are seeking an experienced leader, Director, Process Data Science and Statistics lead, Process Engineering, within the Cell Therapy Technical Operations function. This role is responsible for end-to-end statistical strategy, data infrastructure, and AI/ML capabilities that enable regulatory submissions, process characterization, and commercial manufacturing readiness for pivotal-stage cell therapy programs.
The Director will own statistical and digital strategies for comparability assessments, process characterization studies, and commercial process monitoring of the cell therapy programs. This role builds and maintains data systems, analytical platforms, and AI-enabled tooling that connect process characterization and manufacturing execution data to statistical analysis and decision support - scaling from early process development through late-stage clinical development and commercial and post-commercial manufacturing.
This position reports to the Executive Director, Process Engineering, Cell Therapy Development and Operations, and is located in either Santa Monica, CA or Gaithersburg, MD.
Accountabilities
Statistical Strategy & Regulatory Support
  • Own end-to-end statistical strategy for comparability assessments (site transfers, significant process changes), process characterization, and aids in control strategy development for pivotal-stage cell therapy programs
  • Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and generate defensible regulatory narratives under tight timelines
  • Support authoring CMC sections of IND amendments and regulatory submissions; respond to agency questions on manufacturing data and statistical methods
  • Design and analyze DOE studies for process characterization and LVV manufacturing, including risk-based parameter selection and interaction modeling
  • Support process and product characterization for early development activities

Process Monitoring & Reporting
  • Design and maintain process monitoring programs for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
  • Support CMC process and product characterization analysis during early development
  • Build structured interactive reports and dashboards delivering real-time batch visibility, in-process trend tracking, and decision support across programs
  • Support efforts to incorporate AI and ML technologies during early CMC process development

Data Infrastructure & Digital Systems
  • Partner with IT to define requirements for data pipelines and analytical platforms (including tools such as Snowflake, Streamlit applications, other cloud platforms enabling automated reporting) that connect process development and manufacturing execution data to statistical analysis and decision support
  • Drive manufacturing data digitization strategy, working with IT and manufacturing sites to establish scalable data capture and integration for commercial readiness
  • Collaborate with IT to build and maintain data systems including interactive applications for process simulation, lab equipment data integration, and LLM-enabled data analysis and review
  • Develop and deploy AI/ML solutions for process development and manufacturing process understanding, including predictive modeling, clustering, and automated data analysis workflows
  • Support data digitization strategy for process optimization.

Technical Leadership & Mentorship
  • Shape long-term digital manufacturing and data science strategy, driving AI/ML integration and scalable infrastructure to enable commercial readiness
  • Support data science strategy and strategic plans for incorporating AI/ML during early CMC Process Development.
  • Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to elevate organizational capability
  • Collaborate cross-functionally with R&D, MSAT, Manufacturing Operations, Quality, and IT to align data capabilities with program needs

Required Qualifications
Education
  • Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 6+ years of industry experience
  • OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 10+ years of industry experience
  • OR B.S. with 12+ years of hands-on industry experience

Technical Skills
  • Demonstrated expertise in applied data science and statistical methods for process development or manufacturing (equivalence testing, process capability, variance components, DOE, control charting)
  • Proficiency in Python (pandas, scipy, statsmodels, scikit-learn, plotly) and SQL for data analysis and pipeline development
  • Experience with software development practices including version control, automation, and reproducible analysis workflows
  • Experience supporting regulatory submissions (IND, BLA) with statistical analysis and CMC documentation
  • Strong communication skills with ability to translate complex statistical findings into actionable insights for cross-functional audiences and regulatory-ready narratives

Soft Skills
  • Excellent cross-functional communication and collaboration in matrixed environments
  • Ability to work independently, set priorities, and deliver under time-sensitive regulatory timelines
  • Strategic thinking with ability to shape long-term data and analytics roadmaps

Preferred Qualifications
  • 5+ years of experience working with cloud data systems (AWS, Snowflake, Databricks, or similar)
  • Experience building interactive analytical applications (Streamlit, Dash, or similar)
  • Experience with AI/ML methods applied to manufacturing or bioprocess problems, including LLM-based tooling
  • Experience in cell therapy or biologics manufacturing
  • Experience with DOE design and analysis for process characterization
  • Track record of building and deploying automated reporting and process monitoring systems

When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base salary for this position ranges from $161,252.80 - $241,879.20. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related experience. If hired, employee will be in an "at-will position" and we reserve the right to modify base salary (and any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why AstraZeneca?
At AstraZeneca's Biopharmaceuticals R&D division, we are nimble and agile, always harnessing our diverse knowledge. We are part of the solution, turning our drug development strategies into reality. Work at all stages of development to translate our life-changing science into medicines to get the best results for AstraZeneca, patients in need and healthcare professionals. We are a diverse and open-minded team harnessing our different skills and experiences. Our differences enable us to explore new ideas and ways of doing things. It keeps us on our toes and excited for what's next.
Ready to make a difference? Apply today and join us in our mission to create life-changing medicines!
So, what's next!
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it's yours.
Where can I find out more?
Check out our landing page for more information on our BPD group https://careers.astrazeneca.com/bpd
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
28-May-2026
Closing Date
18-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

What AstraZeneca employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply