Process Engineering Intern Durham, NC

AstraZenecaDurham, NC
3d$37 - $39Onsite

About The Position

We are looking for undergraduate juniors and seniors majoring in Chemical Engineering, Chemistry, Biochemistry or a related discipline for a 12-week internship role in Durham, NC from May 18th to August 7th. Position Duties: Support the design/development of innovative Process Analytical Technologies (PAT) and PoC study execution for both R D and GMP spray drying processes. Assist in digital continuous improvement initiatives by strengthening in-silico process development tools. This includes developing robust integrations between the process data historian, data visualization dashboards, and predictive process models. Develop Lean SWI by establishing clear, detailed standard work instructions for critical manufacturing unit operations - under guidance and collaboration with Ops and Engineering team members. Support process development activities as needed. Position Requirements: Undergraduate juniors and seniors majoring in Chemical Engineering, Chemistry, Biochemistry or a related discipline. Candidates must have an expected graduation date after August 2026. Process Engineering Fundamentals: Understanding of mass/energy balances, thermodynamics, and fluid dynamics required. Data Analytics & Visualization: Experience with tools like Python, MATLAB, or JMP for data analysis and dashboard development required. Process Modeling: Familiarity with first-principles modeling and simulation software (e.g., Aspen Plus, gPROMS) required. Digital Integration: Knowledge of data historians (e.g., OSIsoft PI) and linking process data to analytical models required. Pharmaceutical Manufacturing Exposure: Awareness of GMP principles and R D workflows preferred. Problem-Solving & Continuous Improvement: Ability to apply structured approaches to optimize processes required. Communication & Collaboration: Comfortable working in cross-functional teams and presenting technical findings required. Ability to use and/or develop AI tools preferred. Ability to report onsite to Durham, NC 5 days per week. This role will not provide relocation assistance. US Work Authorization is required at time of application. This role will not be providing CPT support.

Requirements

  • Undergraduate juniors and seniors majoring in Chemical Engineering, Chemistry, Biochemistry or a related discipline.
  • Candidates must have an expected graduation date after August 2026.
  • Process Engineering Fundamentals: Understanding of mass/energy balances, thermodynamics, and fluid dynamics required.
  • Data Analytics & Visualization: Experience with tools like Python, MATLAB, or JMP for data analysis and dashboard development required.
  • Process Modeling: Familiarity with first-principles modeling and simulation software (e.g., Aspen Plus, gPROMS) required.
  • Digital Integration: Knowledge of data historians (e.g., OSIsoft PI) and linking process data to analytical models required.
  • Problem-Solving & Continuous Improvement: Ability to apply structured approaches to optimize processes required.
  • Communication & Collaboration: Comfortable working in cross-functional teams and presenting technical findings required.
  • Ability to report onsite to Durham, NC 5 days per week.
  • US Work Authorization is required at time of application.

Nice To Haves

  • Pharmaceutical Manufacturing Exposure: Awareness of GMP principles and R D workflows preferred.
  • Ability to use and/or develop AI tools preferred.

Responsibilities

  • Support the design/development of innovative Process Analytical Technologies (PAT) and PoC study execution for both R D and GMP spray drying processes.
  • Assist in digital continuous improvement initiatives by strengthening in-silico process development tools.
  • Develop robust integrations between the process data historian, data visualization dashboards, and predictive process models.
  • Develop Lean SWI by establishing clear, detailed standard work instructions for critical manufacturing unit operations - under guidance and collaboration with Ops and Engineering team members.
  • Support process development activities as needed.
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