Biotherapeutics Expression Scientist, CHO & Automation

AbbVie; North Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Benefits package

Short-term incentive programs

401(k)

Job summary

AbbVie Biotherapeutics and Genetic Medicine seeks an experienced protein expression scientist to join a fast-paced mammalian cell culture team. The role focuses on engineering biologics in CHO cells, protein expression, and characterization, while leveraging automation and data digitization.

The successful candidate will contribute to high-throughput workflows, independently design experiments, and work with cross-functional teams to advance biologic-based therapies.

Qualifications

• Bachelor’s or Master’s degree in biology, chemistry, biochemistry or related field.
• 5+ years (BS) or 2+ years (MS) experience in cell culture and protein production in CHO cells.
• Experience in CHO process development and optimization.
• Experience with targeted integration, FACS, ddPCR, vector design, and Wave bioreactors is desirable.
• Strong communication and teamwork skills.

Responsibilities

• Generation and screening of stable CHO cell lines expressing multispecific biologics.
• Process development and optimization for fed-batch bioreactor expressions.
• Handle stable CHO pool lines including thaw, culture, expression, and cryopreservation.
• Apply targeted integration using FACS-based single-cell sorting.
• Characterize copy number and mRNA levels using ddPCR and related tools.
• Contribute to data digitization and automation initiatives.

Skills

cell culture

protein production

process development

FACS

ddPCR

data analysis

Education

Bachelor’s or Master’s in biology/chemistry/biochemistry

Tools

FACS

ddPCR

Wave bioreactors

Bioreactor systems

Job description

AbbVie Biotherapeutics and Genetic Medicine seeks an experienced protein expression scientist to join a fast-paced mammalian cell culture team. The role focuses on engineering biologics in CHO cells, protein expression, and characterization, while leveraging automation and data digitization.

The successful candidate will contribute to high-throughput workflows, independently design experiments, and work with cross-functional teams to advance biologic-based therapies.