Advisor / Sr. Advisor in Computer-Aided Engineering (DDCS)
INDIANAPOLIS, INPosted 30+ days ago
Job summary
Job post source
This job is directly from Eli Lilly and Company
Job overview
The Advisor / Sr. Advisor in Computer-Aided Engineering at Eli Lilly leads computational modeling efforts to support drug delivery device design and development, impacting product innovation and regulatory compliance.
Responsibilities and impact
The role involves developing and validating computational models, collaborating with engineers and third parties, preparing regulatory documentation, mentoring junior engineers, managing the CAE team, and ensuring compliance with safety and regulatory standards.
Compensation and benefits
The salary range is $123,750 to $198,000 with eligibility for company bonuses, a comprehensive benefits package including 401(k), pension, medical, dental, vision, life insurance, and wellness programs.
Experience and skills
Candidates need a Ph.D. or MS with 5+ years in Mechanical Engineering or related fields, expertise in nonlinear analysis and commercial solvers like Abaqus, plus knowledge of medical device design and regulatory standards.
Career development
Opportunities include technical leadership, mentoring roles, and involvement in cross-functional teams accelerating patient-centered design innovations.
Work environment and culture
Eli Lilly emphasizes a caring, inclusive culture with strong employee resource groups supporting diversity and a commitment to safety and compliance.
Company information
Eli Lilly is a global healthcare leader focused on discovering and delivering life-changing medicines, headquartered in Indianapolis with a strong commitment to community and innovation.
Team overview
The position is within the Computational Engineering team of the Delivery, Device and Connected Solutions organization, collaborating closely with internal engineers and external partners.
Job location and travel
The job is based in Indianapolis, Indiana, with up to 10% domestic and international travel expected.
Unique job features
This role uniquely combines advanced computational engineering with regulatory and product development responsibilities in a leading pharmaceutical company.
Company overview
Eli Lilly and Company is a global pharmaceutical firm specializing in the development and commercialization of innovative medicines. They generate revenue primarily through the sale of prescription drugs across various therapeutic areas, including oncology, immunology, neuroscience, and diabetes. Founded in 1876, Eli Lilly has a rich history of pioneering medical advancements, such as the mass production of insulin and the development of the polio vaccine. The company is headquartered in Indianapolis, Indiana, and continues to invest heavily in research and development to bring new treatments to market.
How to land this job
Position your resume to emphasize your expertise in advanced nonlinear analysis, contact modeling, multiphysics, and material model calibration for elastomers and plastics, as these are critical for the Advisor/Sr. Advisor role in Computer-Aided Engineering at Eli Lilly's DDCS organization.
Highlight your proficiency with commercial solvers like Abaqus, and familiarity with Ansys, HyperMesh, or COMSOL, along with your experience in design for manufacturing, plastic part design guidelines, and medical device design control processes (e.g., ISO 13485).
Apply through multiple channels including Eli Lilly's corporate careers site and LinkedIn to maximize your visibility and chances of being noticed for this specialized position.
Connect with current employees in the Delivery, Device and Connected Solutions division on LinkedIn; use ice breakers such as commenting on recent innovations in drug delivery devices or asking about their experience working on computational modeling projects at Lilly.
Optimize your resume for ATS by incorporating keywords from the job description like 'nonlinear analysis,' 'contact modeling,' 'multiphysics,' 'Abaqus,' 'ISO 13485,' and 'technical leadership' to ensure your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate applying across multiple platforms, tailor your resume for ATS, and identify relevant LinkedIn contacts to network with, allowing you to focus your time on preparing for interviews and refining your skills.
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