Summer Intern, CGT Upstream Process Development

Job Summary

Employer - Global Pharmaceutical Company 

Location - South San Francisco

Dates - 10 weeks, Late May/Early June Start

The candidate will shadow and learn our platform AAV process (upstream) and may be responsible for owning exploratory studies independently. The candidate will contribute to team responsibilities by parsing and analyzing data, compiling data into presentation or technical report formats. Presentations may be shared with our team or other teams across the Technical Development organization. Technical reports may indirectly support CMC development work. Intern will have visibility into wider responsibilities of the Upstream Process Development organization, outside of program development activities, such as tech transfer support and data integrity initiatives. Candidate will also be exposed to late-stage characterization activities. 

Key deliverable provided will be a supporting project data package and presentation. Additional deliverables may be designed based on candidate interest and team needs.

Job Responsibilities 

• Shadow operations and review process description materials to gain familiarity with AAV platform process
• Conduct DLS experiments to study and characterize complex size across multiple AAV programs 
• Review and consolidate experiment conclusions into presentation and report formats
• Support data parsing and technical report drafting for various team initiatives, i.e., consolidate conclusions from a set of experiments into a new process iteration technical report 
• Gain insight into program development, from early process development to tech transfer and late-stage characterization
• Candidate will conduct DLS studies across a range of programs to build a data package used to support the ongoing effort to characterize the effect of complex size on transfection, for multiple AAV programs/serotypes. Currently, the team has a limited dataset and relies on assumptions across programs. Candidate would generate data to fill in gaps in existing knowledge, allowing us to eliminate assumptions and characterize complex size in additional programs. Ultimately, this data would support process optimization, scale-up, and transfer to manufacturing.
• Candidate will likely also contribute to other activities, based on candidate interest and experience

Education & Qualifications 

Required

• Pursuing a bachelor’s or master’s degree in life sciences with a minimum GPA of 3.3   
• Must have an interest in pursuing a career in Life Sciences/Biotech/Pharmaceuticals 
• Ability to manage workload effectively including planning, organizing, prioritizing, and meeting deadlines

Preferred

• Engineering or bioprocessing background preferred 
• Experience working with cell culture and designing experiments  
• Experience writing technical reports, summarizing experimental findings and communicating results/conclusions to different audiences 
• Knowledge of DLS