Johnson & Johnson Hiring Co-Op in Malvern, PA

About Innovative Medicine

Johnson & Johnson believes health is everything. Through Innovative Medicine and MedTech, the company works to prevent, treat, and cure complex diseases. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to its employees worldwide, provides an inclusive work environment, and respects the diversity and dignity of each employee.

Expertise in Innovative Medicine is shaped by patients, whose insights drive science-based advances. Team members here help develop the medicines of tomorrow, from lab to life. Learn more at https://www.jnj.com/innovative-medicine.

The team is searching for talent for the TDS Proteins API DSP HTPD Co-Op in Malvern, PA or Spring House, PA.

• 5 vacancies are currently available.
• The co-op term is typically six months, from January to June 2027 (flexible).
• Full-time requirement (40 hours per week), fully on-site.

Purpose

The TDS Proteins Development API organization is seeking a motivated Co-Op to support high-throughput process development (HTPD), protein purification, bioconjugation process development, chromatography optimization, automation, and digital innovation initiatives for biologics and protein therapeutics.

This role offers hands-on experience in laboratory research, process development, high-throughput screening, data analysis, and workflow optimization. You will work with scientists and engineers across process development, manufacturing, analytical, automation, and digital teams to build scalable platforms and data-driven solutions for multiple biologics programs.

Responsibilities

• Support high-throughput process development, protein purification, chromatography, filtration, and bioconjugation activities.
• Design, run, and document laboratory experiments to evaluate process performance, operating conditions, and scalability.
• Perform chromatography, resin screening, protein characterization, conjugation, and purification studies on lab and automated platforms.
• Support scale-down models, high-throughput screening workflows, and automation technologies.
• Analyze and interpret experimental data using statistical and quantitative methods to produce actionable recommendations.
• Take part in experimental design discussions and help solve technical challenges.
• Collaborate with internal and external partners across scientific, engineering, manufacturing, and digital groups.
• Develop workflows, tools, best practices, and platform strategies that improve efficiency, consistency, and knowledge management.
• Support digital initiatives involving data analysis, visualization, programming, process automation, and data-driven decisions.
• Maintain laboratory notebooks, technical documentation, and project records per established guidelines.
• Present project updates, findings, and recommendations to cross-functional stakeholders.

Preferred Experience

Process Development & Laboratory

• Laboratory, research, biologics process development, or manufacturing experience.
• Experience with experimental design, execution, and scientific data interpretation.
• Prior work with protein purification, protein characterization, and basic protein biochemistry.
• Experience with multichannel pipetting and small-volume samples.

Chromatography & Purification

• Chromatography experience, including HPLC, FPLC, column chromatography, resin screening, and chromatography process development.
• Knowledge of downstream bioprocessing and scale-down model development or validation.
• Experience with Tangential Flow Filtration (TFF).
• Knowledge of Hydrophobic Interaction Chromatography (HIC), ion-exchange, mixed-mode resins, and chromatographic performance metrics.

High-Throughput & Automation

• Experience with plate-based assays, HTPD, and high-throughput screening workflows.
• Experience with laboratory automation platforms such as Tecan systems.

Conjugation & Biotherapeutics

• Experience with bioconjugation, antibody conjugates, ADC-related lab techniques, or purification workflows.

Digital & Data Skills

• Experience with data analysis, visualization, modeling, application development, or programming tools.
• Basic programming knowledge and data aggregation experience is a plus, but not required.
• Statistics and data-driven decision-making experience preferred.

Ineligible for severance.