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Internship Chemical Engineering Data Science Jobs

Data Scientist

Thousand Oaks, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... or Chemical Engineering or a related technical field * 1-2 years of experience in the medical ... science to serve patients. Together, we compete in the fight against serious disease. Amgen is an ...

Data Scientist

Thousand Oaks, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... or Chemical Engineering or a related technical field * 1-2 years of experience in the medical ... science to serve patients. Together, we compete in the fight against serious disease. Amgen is an ...

Data Science Engineer

Austin, TX ยท 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 ...

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Internship Chemical Engineering Data Science information

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

As of Aug 17, 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 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 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 are the key skills and qualifications needed to thrive as an internship chemical engineering data science?

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.

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.

Can a chemical engineer become a data scientist?

A chemical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their strong analytical background and experience with process data can be valuable in data science roles, especially in industries like manufacturing or energy. Transitioning may also involve learning tools such as Python, R, and data visualization software.
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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:

Infographic showing various Internship Chemical Engineering Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Scientist

Amgen, Inc.

Thousand Oaks, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago


Job description

Career Category
Operations
Job Description
Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Scientist
What you will do
Let's do this. Let's change the world. In this vital role you will be at the forefront of digital transformation in the biopharmaceutical industry. This team provides thought leadership and enhances capabilities for a data based workflow, digital threads and digital twins.
The Data Automation Data Scientist will play a pivotal role in advancing digital transformation by driving the development, integration, and adoption of digital automation across enterprise platforms, including Product Lifecycle Management (PLM), Electronic Laboratory Notebooks (ELN), and enterprise data platforms. You will collaborate with cross-functional teams to deliver impactful digital solutions while maintaining the digital thread across engineering testing, laboratory operations, and data analytics to ensure seamless data integration, accessibility, and traceability.
You will also partner closely with internal stakeholders to understand business needs, optimize workflows, and deliver scalable digital capabilities.
  • Serve as the Subject Matter Expert (SME) for automated test data collection from digital laboratory, electronic lab notebook (ELN) and testing solutions.
  • Lead the implementation, adoption, support, and continuous improvement of digital data capture capabilities.
  • Ensure collection of FAIR (Findable, Accessible, Interoperable, and Reusable) laboratory and engineering data by promoting data integrity, standardization, metadata management, and data governance across enterprise systems.
  • Maintain the digital thread by integrating design, verification testing, and laboratory data across the product lifecycle to improve traceability, accessibility, and collaboration.
  • Partner with cross-functional stakeholders to gather business requirements, optimize laboratory workflows, validate system enhancements, and deliver scalable digital solutions.
  • Drive digital transformation and user adoption by performing system testing, delivering end-user training, managing enhancement requests, and ensuring compliance with Design Control, GMP, GDP, and applicable quality requirements.
  • Query, analyze, and visualize laboratory and engineering data to generate actionable insights, improve process performance, and support data-driven decision making.

What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.
Basic Qualifications:
Master's degree
OR
Bachelor's degree and 2 years of Data Scientist/Engineering experience
OR
Associate's degree and 6 years of Data Scientist/Engineering experience
OR
High school diploma / GED and 8 years of Data Scientist/Engineering experience
Preferred Qualifications:
  • Bachelor's degree or Advanced Degree. in engineering, Mechanical, Biomedical, bioengineering or Chemical Engineering or a related technical field
  • 1-2 years of experience in the medical device, pharmaceutical, biotechnology, or other regulated industry.
  • Experience with Electronic Laboratory Notebooks (ELN), Laboratory Information Management Systems (LIMS), Product Lifecycle Management (PLM), such as Biova Onelab, 3DExperience, or similar enterprise digital platforms.
  • Experience leading or supporting the implementation, rollout, and adoption of digital tools and laboratory workflows.
  • Experience supporting engineering verification testing, laboratory operations, or product development activities in a regulated environment.
  • Working knowledge of the automation of laboratory test equipment engineering data .
  • Knowledge of Design Control, ISO 13485, GMP, GDP, and applicable regulatory requirements for medical devices and combination products.
  • Strong analytical and problem-solving skills with the ability to query, analyze, interpret, and communicate data-driven insights.
  • Proficiency in SQL, Python (R is a plus), and business intelligence tools such as Power BI or Tableau to query, analyze, visualize, and communicate data-driven insights.
  • Strong technical aptitude with the ability to translate business requirements into scalable digital solutions and collaborate effectively with cross-functional teams.

What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Salary Range
103,852.15USD -140,505.85 USD