2026 Automated Biologics Purification Process Development Co-Op (Jun - Dec)

AbbVie
Worcester, MA

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok .

Job Description

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Co-Ops.

We are the downstream purification process development team: our mission is to address challenging problems in biologics process development areas by working collaboratively and cross-functionally and developing appropriate tools and technologies to enable right at first pass scale-up and technology transfer of various biologics modalities drug substance processes.

Key Responsibilities Include:

  • Executing wet-lab chromatography experiments using AKTA and sample analysis using HPLC.
  • Working with cross-functional teams to integrate different instruments into a closed loop.
  • Writing and debugging Python code for instrument control and data parsing.
  • Applying machine learning for process development and/or optimization.
  • Presenting results through internal and/or external posters, oral presentations or publications.

Qualifications

Minimum Qualifications

  • Currently enrolled in university, pursuing a Bachelor’s degree in Chemical/Biomedical Engineering, Electrical Engineering, Applied Mathematics, Computer Science or other related field
  • Must be enrolled in university for at least one semester following the co-op
  • Expected graduation date between December 2026 – June 2027
  • Strong communication skills and passionate about automation, modeling and biologics process development

Preferred Qualifications

  • Familiarity with lab automation, Python, optimization algorithms, OPC, Ignition.
  • Exposure to chromatography (AKTA, HPLC), filtration and monoclonal antibody (mAb) or other biologics downstream purification process development.
  • Understanding of machine learning concepts including regression and classification.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

Benefits and Amenities:​

  • Competitive pay​

  • Relocation support for eligible students​

  • Select wellness benefits and paid holiday / sick time ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Posted 2026-01-30

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