Summer Co-op/Process Modelling and Simulation

The US Process Analytics group part of the GSK Research and Development division, is responsible for developing mechanistic, data-driven, and hybrid models to support the design and development of pharmaceuticals and biopharmaceuticals for both drug substance and drug product. This position is in the Process Analytics group of the Medicine Development and Supply department, located at the Upper Providence site.

The co-op will be part of a team developing advanced modeling approaches to accelerate development, increase fundamental understanding, and deliver more robust processes for large molecule drug substance / product. 

Key learning opportunities will be:

• Perform experimentation and data analysis (e.g. physical properties testing, microscopy, process analytical technology [PAT], unit operations) to support mathematical modeling for drug product and drug substance development.
• Use engineering, chemical, and/or biological knowledge to postulate mechanisms for chemical and biological processes under study.
• Apply data and digital analytics, modelling, and simulation to progress project development as needed.
• Work closely with US Process Analytics team members to integrate experimental workflows with process modeling approaches according to Quality by Design principles.
• Regularly update manager on progress made on research topic and document results / analysis in reports.
• Comply with GMP requirements for recording experiments, documenting simulation work, and writing reports, including scientific review and data checking.
• Comply with the requirements of Quality, Safety, and GSK policies and procedures and ensure that GSK intellectual property is protected.

• Pursuing a BS or MS in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Materials Science, Chemistry, or related field.
• Able to work full-time (35-40 hours/week) throughout the duration of the 6-month co-op (June - December 2024).
• Must have an active student status and/or be within 12 months post-graduation from a BS or MS degree program. Post-doctoral candidates are not eligible. 
• Experience with wet lab techniques and data analysis.
• Ability to multi-task and manage workload independently.
• Excellent interpersonal, organizational, and communication skills.

• Pursuing a degree in Ph.D. in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Materials Science, Chemistry, or related field.
• Experience using data analytics and modeling tools for chemical and/or biochemical processes.
• Programming experience using languages such as Matlab, Python, R, C, etc.

• Must successfully pass a drug screen and background check prior to assignment target start date.  
• If your skillsets are a match for this role, you will be contacted by our recruitment team with next steps to complete our internal World of GSK Assessment.
  • Please note, you must receive a passing score to move forward in the interview process. Once your assessment is complete, a recruiter will review your results and be in touch with next steps.

• While GSK embraces a flexible work environment, we do require certain positions to be onsite. Candidates who are hired for an on-site role or hybrid role, and reside outside of 50-miles from their assigned work location, are eligible for relocation stipend. This is a one-time payment to help offset housing & relocation expenses. Please refer to the position details for the requirements of each position. 
• GSK Interns and Co-ops are offered a competitive hourly pay rate and benefits. Please note, benefits eligibility determined the month following date of hire.

Interested in learning more? Register now on our digital learning platform (GSK Get Ahead - Connectr) where you can access interview and assessment hints and tips, speak to a mentor and learn more about life at GSK.