Senior/ Advisor - Process Engineering & Modelling

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Organization Overview:

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana, USA. Our 39,000 employees worldwide work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

The Product Research and Development (PRD) organization strives to develop and deliver quality medicines to patients. The portfolio consists of development and commercialization of insulins, small molecules, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies and gene therapy systems. This organization is a multidisciplinary group that works collaboratively with therapeutic business units and manufacturing to deliver the incredibly exciting Lilly clinical portfolio to patients around the world.

The Lilly Capability Centre India (LCCI) located in Bengaluru India is a strategic investment made by Lilly to attract top talent from the vibrant academic and professional environment in India and deploy them to develop and enable critical capabilities for Lilly. The LCCI group in India houses a PRD team that works closely with the PRD team in Indianapolis in enabling the delivery of Lilly’s portfolio.

Job Description

Candidates must demonstrate a history of strong technical depth, a broad base of modeling skills, scientific leadership, and a willingness to promote a collaborative, team-based approach to problem solving.  The candidate will have a combination of deep fundamental mathematical/science/engineering knowledge and strong mathematical modeling skills, and have the proven ability to apply these skills to solve problems in reaction systems and other unit operations, at both small and large scale.

Specifically, the candidate will have experience in the following areas:

• Designs, develops, and applies new, customized computer models/tools and also applies, where necessary and available, commercial computer modeling software
• Experience in process development, scale up and technology transfer to manufacturing and validation
• Experience in artificial intelligence and machine learning techniques and their application to solve process engineering problems
• Contributes to research projects and programs focused on development of specific small molecule and/or synthetic peptide active pharmaceutical ingredients (APIs) for clinical and commercial use
• Designs data-rich experiments that fully utilize automated lab reactors equipped with process analytical technology probes.  Drives experimental design towards the collection of kinetic, thermodynamic and transport data in any type of unit operations to design impurity control and perform scale-up to manufacturing scale
• Promotes general research and development effectiveness and productivity enhancement through application of computer modeling, simulation, and optimization
   

Key Responsibilities:

• Lead the modeling activities for small molecule and/or synthetic peptide drug substance development with following responsibilities:
  • Design and develop model-derived solutions to support clinical and commercial manufacturing processes (batch and continuous) which enable material supply and a robust registration data package.
  • Contribute to project planning by identifying and communicating design opportunities and process risks to management to enable sound business decisions.
  • Utilize internal and external modeling, and experimental resources to mitigate those risks before they impact the project delivery timeline

• Works with product teams to provide technical oversight to enable process scale up and technology transfer to manufacturing sites
• Work with partners across PR&D to identify decisions that can be informed by data science approaches. 
• Apply the right data science tool/methodology to inform and influence decisions.
• Develop tools/algorithms to mine patterns in existing data to create a recommendation on future questions to consider.

Educational Requirements: 

Ph.D. in Chemical Engineering with 0-10 years industry experience in modelling and simulation areas with application of doing data science

Position Requirements: 

• Substantial computer modeling expertise—application and/or development of computer modeling applications
• Demonstrated experience in scale up and tech transfer of processes to internal manufacturing or external CDMOs
• Proficiency with mathematical analysis programs, e.g., JMP, MATLAB, ASPEN, Dynochem, gPROMS
• Some advanced mathematics training or real applied experience solving mathematics based problems
• Experience in  applying optimization, computational fluid dynamics, and computational chemistry tools to solve process engineering problems is preferred
• Experience in programming in scripting languages including R and Python
• Experience in using existing statistics/machine learning tools and ability to implement custom algorithms as needed.
• Strong inter-personal and communication skills to collaborate with technology implementation partners and drive to solutions with an Agile mindset
   

Additional Information:

• Successful interaction with senior engineering and scientific personnel
• Limited international travel (2 – 4%) will be required.
• Work hours flexibility to accommodate collaboration across multiple time zones

• Location-Bengaluru India

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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