Adviser - Process Systems Engineer

About This Role

The Process Systems Engineer will apply model-based solutions to accelerate new medicine development within a fast-growing pharmaceutical company. This role involves designing and optimizing manufacturing processes, developing computational tools, and mentoring less experienced engineers.

Responsibilities

• Apply process systems engineering fundamentals towards designing and optimizing pharmaceutical manufacturing processes using modeling, simulation and optimization tools in conjunction with data analysis
• Design appropriate strategies to apply a variety of computational tools to support the development and scale-up of pharmaceutical manufacturing processes
• Implement and execute the necessary data analysis, models and/or simulations to support to the design or scale-up of pharmaceutical manufacturing processes
• Analyze and interpret data collected from laboratory experiments and/or from manufacturing (including parameter estimation)
• Actively participate in the design of process conditions for process understanding (experiments) or for material production in manufacturing (nominal conditions)
• Understand and utilize thermodynamics and material characterization techniques as an informing factor to model-based solutions
• Develop user-friendly computational tools to be deployed across SMDD to support the development of specific manufacturing platforms
• Train the SMDD general community in the use of platform computational tools
• Serve as a member of integrated commercial teams responsible for the development and demonstration of new processes
• Supervise compliance with regulations, guidelines, procedures, and practice governing drug research and development
• Collaborate closely with multifunctional organizations such as Product Delivery, Project Management, Quality, Manufacturing, and Regulatory
• Oversee activities and install key capabilities within contract manufacturing organizations (CMOs)
• Engage in a highly collaborative work environment across and beyond SMDD and Lilly, including external academic researchers and pre-competitive collaborations
• Direct and mentor less experienced scientists and engineers to deliver the portfolio and innovation projects
• Promote diverse thought and experience to deliver innovative solutions that address unmet technical needs
• Publish and present original research externally, author internal technical documents and develop and document control strategies for new product registration applications

Requirements

• PhD in Chemical Engineering
• Modeling and optimization of solid phase peptide synthesis
• Experience across multiple disciplines of process systems engineering (modeling, optimization, control, statistics, numerical methods, programming)
• Knowledge and experience building fundamental, empirical or hybrid models as appropriate
• Experience with modeling and simulation and data analytics software packages (including Python, MATLAB, gPROMS, Julia, GAMS, Pyomo, Pyomo DAE, OMLT, NOMAD)
• Experience in formulation, implementation and solution of NLP, LP, and MINLP problems

Qualifications

• PhD in Chemical Engineering

Nice to Have

• Awareness of simulation tools across scales (DEM, CFD, FEM, PBM etc)
• Experience in parameter estimation and handling of data uncertainty
• Knowledge and familiarity with data generating sources and automation architectures
• Strong foundations in numerical methods, optimization, thermodynamics, and transport phenomena
• Excellent oral communication and documentation skills
• Demonstrated ability to effectively collaborate with multidisciplinary teams
• Demonstrated leadership behaviors with ability to accept challenges, seek opportunities to remove barriers, influence without authority, and lead in areas of uncertainty
• Demonstrated teamwork/interpersonal skills
• Demonstrated problem solving, attention to detail and result oriented behaviors in a fast-paced environment

Skills

* Required skills

Benefits