bartender

bartender-lilly reveli Jobs in Indianapolis

bartender-lilly reveli

lead bartender

bartender lilly reveli

Aramark

<div><div><div><h2 class="jobSectionHeader">Job Description</h2></div><div>
What?s brewing in your future? If you?re striving for a glass half-full rather than half-empty, become a master of mixology as a Bartender with Aramark! Surrounded by passionate teammates and leaders, you?ll help take our meals to the next level with knowledge of your craft by serving alcoholic and non-alcoholic drinks to our guests. Whether you?re preparing mixed drinks, pouring other beverages, or handling money, you?ll have the chance to tap into consumer tastes, learn about trends, create bonds with others, and build the next step in your path. Cheers to igniting your passion at Aramark! 
Essential functions and responsibilities of the position may vary by Aramark location based on client requirements and business needs.</div></div><div><div><h2 class="jobSectionHeader">
Job Responsibilities</h2></div><div>
? Greets guests and takes orders, processes cash and credit card transactions 
? Mixes and serves both alcoholic and non-alcoholic beverages 
? May include providing servers drinks from the service well 
? Adheres to all established alcohol service policies and safe drinking guidelines including checking patrons? identification to ensure that they meet minimum age requirements for alcohol consumption 
? Adheres to cash handling policies 
? Sets up and breaks down workstations, including cleaning and sanitizing 
? Takes inventory counts and ensures product is stocked to appropriate levels 
? Provides excellent guest service, anticipating guests' needs and ensuring guest satisfaction 
? Maintains a positive demeanor towards guests, clients, co-workers, etc. 
? Ensures security of company assets
At Aramark, developing new skills and doing what it takes to get the job done make a positive impact for our employees and for our customers. In order to meet our commitments, job duties may change or new ones may be assigned without formal notice.</div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div>
? Previous experience as a bartender preferred 
? Knowledge of bartending principles and recipes and current trends 
? Able to obtain all Aramark and state/local required alcohol service certifications 
? Displays phenomenal hospitality, friendliness, and comprehensive beverage knowledge. 
? Demonstrates organizational &amp; multi-tasking skills, accuracy, and attention to detail 
? Requires occasional lifting, carrying, pushing, pulling of up to 25 lb 
? Enjoys working in a fast-paced fun work environment 
? Ideal candidate will be available to work a flexible schedule that includes evenings, weekends, and holidays</div></div><div><div><h2 class="jobSectionHeader">
Education</h2></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Aramark</h2></div><div>
Our Mission
Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.
At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.
About Aramark
The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.</div></div></div>

Bartender-Lilly REVeli

Eli Lilly

<div>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&rsquo;re looking for people who are determined to make life better for people around the world.
Organization Overview
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Position Overview:
Delivery, Device, and Connected Solutions (DDCS) sits within Eli Lilly&rsquo;s Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities&mdash;from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics.
We are seeking a collaborative, visionary computational scientist to lead the Modeling &amp; Simulation team within DDCS. This leader will advance predictive modeling capabilities across molecular-to-system scales and single-to-multi-physics domains, integrating scientific machine learning (SciML) and AI to accelerate design, de-risk development, and deepen mechanistic understanding for drug delivery systems.
This is a hands-on technical leadership role that combines strategy development, capability building, and model delivery to inform decisions&mdash;from molecular interactions and material behavior to fluid/solid mechanics, device performance, and patient-use conditions.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Lead &amp; Grow a High-Impact Team: Build and lead a multidisciplinary team spanning molecular dynamics (all-atom and coarse-grained), computational fluid dynamics (CFD), finite element analysis (FEA), multiscale/multiphysics coupling, uncertainty quantification (UQ), and surrogate/multifidelity modeling.</li><li>
Deliver Actionable Predictive Models: Develop and deploy models that elucidate governing physics, quantify risk, and inform device architectures, formulation strategies, and delivery system designs across the R&amp;D lifecycle.</li><li>
Advance State-of-the-Art Capabilities: Establish a technology roadmap for digital twins, reduced-order models, operator learning/PINNs, Bayesian calibration, and MDO (multidisciplinary design optimization); drive continuous improvement in accuracy, speed, and robustness.</li><li>
Integrate SciML/AI with Physics: Combine physics-based simulation with scientific ML/AI to build hybrid models and multifidelity frameworks that accelerate exploration, optimization, and decision-making.</li><li>
Scale Modeling on Modern Compute: Leverage HPC/GPU clusters and cloud to run, manage, and govern large-scale simulations; champion software engineering best practices (version control, CI/CD, testing, reproducibility).</li><li>
Embed Modeling in the Business: Partner with engineering, device design, materials, formulation, human factors, clinical, and quality to ensure modeling is tightly coupled to program milestones, risk assessments, and regulatory strategy.</li><li>
Mentor &amp; Raise the Bar: Set the tone for technical excellence, curiosity, and continuous improvement; mentor, develop, and grow early-career scientists and engineers.</li><li>
Drive External Leadership: Publish, present, and shape the external agenda through collaborations; identify opportunities that amplify internal capabilities and impact.</li></ul><h2 class="jobSectionHeader">
Basic Requirements:</h2><ul><li>
PhD in computational physics/biophysics/biomechanics, chemistry or a related engineering discipline, and 10+ years of relevant experience.</li><li>
Expert-level proficiency in theory and application in at least one of the following: molecular dynamics (MD), computational fluid dynamics (CFD), or finite element analysis (FEA), AND foundational knowledge or practical exposure to others&mdash;including validation and deployment on complex, real-world systems.</li><li>
Demonstrated experience applying physics-based methods across scales, from molecular to continuum.</li><li>
Excellent communication (visualization, scientific storytelling) and a strong record of peer-reviewed publications and conference presentations.</li><li>
A growth mindset with a passion for learning, emerging technologies, and working across disciplines.</li></ul><h2 class="jobSectionHeader">
Additional Preferences:</h2><ul><li>
Proficiency with high-performance computing (e.g., MPI, GPU/CUDA, job schedulers, profiling/optimization).</li><li>
Organization and prioritization skills for fast-paced, multi-program environments, with a comfort level in ambiguity and risk.</li><li>
Breadth across methods such as: Statistical mechanics, continuum mechanics, multiscale/multiphysics coupling, coarse-graining, particle/DEM, lattice-Boltzmann, non-Newtonian fluids, contact mechanics, heat/mass transfer, electrostatics, diffusion-reaction, and materials modeling; Scientific Machine Learning / Physics-ML: PINNs, operator learning (e.g., DeepONets, FNOs, GNOs), multifidelity surrogates, Gaussian processes, active learning, and Bayesian UQ/calibration for parameter inference and decision support.</li><li>
Experience with ASME V&amp;V 40 and model risk classification; familiarity with verification, validation, and regulatory submissions for modeling evidence.</li><li>
Hands-on with common tools (illustrative, not prescriptive): MD: LAMMPS, GROMACS, OpenMM; coarse-grain methods (Martini, SDK); CFD: OpenFOAM, Ansys Fluent/CFX, STAR-CCM+; FEA/Multiphysics: Abaqus, COMSOL, Ansys Mechanical; Workflow/Compute: Python, C/C++, MATLAB, Julia; CUDA/OpenMP; Slurm; Azure/AWS; Git, containers, CI/CD; Data/ML: NumPy/Pandas, PyTorch/TensorFlow/JAX, scikit-learn; MLflow, DVC.</li><li>
Evidence of linking modeling to business value&mdash;portfolio decisions, design tradeoffs, robustness/DFM, cost/schedule risk reductions.</li></ul><h2 class="jobSectionHeader">
Additional Information:</h2><ul><li>
Travel: up to 10%</li><li>
Position: Indianapolis, IN; Lilly Technology Center-North (LTC-N)</li></ul>
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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$148,500 - $257,400
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Director - Multi-Physics, Scale and Fidelity Predictive Modeling

Information Technology Senior Management Forum

<div><div>Posted Date
2/28/2026
</div><div>Description
<div>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&rsquo;re looking for people who are determined to make life better for people around the world.
Join our team as a Platform Architect responsible for technical oversight and delivery with our Global Service Management P latforms ( predominately Service Now) in Tech at Lilly, working side by side with peers in a global team. You will be a technical leader who understands the platform and interdependencies of the modules, analyzes impacts of new requirements, and provides controls to ensure the correct technical solutions, with the right security standards are delivered. You will demonstrate strong technical abilities, a sound understanding of business strategy and policies that govern the Service Management platforms and possesses advanced experience and knowledge of ServiceNow security, as well as alignment to the long-term vision of enterprise solutions.
The ideal candidate will embrace emerging technologies, like AI and Automation, driving adoption across an enterprise, paired with demonstrating an enthusiasm for leveraging platform capabilities within new areas of the business. These skills will enable improved user efficiency and experience and help support the broader Company purpose of making life better for people around the world.
What You&rsquo;ll Be Doing
You will engage deeply with enterprise architects, Cyber Security, the Lilly Global Service Management Platform team, cross functional IT partners, and vendors to enhance the ServiceNow capabilities, security model and deliver new bleeding edge functionality. You will have the desire and proven ability to cut through ambiguity and re-imagine how services should be established and managed to ensure the highest levels efficiency. You will be a respected and robust technical partner who feels obligated to focus on enterprise value-based outcomes &ndash; one that can establish new enterprise capabilities through engagement with cross functional partners and vendors whilst minimizing technical dept.
How You&rsquo;ll Succeed
<ul><li>Demonstrate yourtechnicalproficiencyand governance of the ServiceNow platform, along with thought leadership and counsel to the Product Managers, along with delivery execution oversight and coaching to technical development teams.</li>
<li>Leverage your passion for AI and Automation to chart an effective course for optimising workload, allowing the team to deliver ever increasing outcomes.</li>
<li>Exhibit proven ability to define and drive the technical approach for best practices, policies, and procedures related to design and development of platform applications, security, and integrations. Ensure effective impact analysis of platform changes,maintainingconsistency and adherence to Standard Operating Procedures concerning architecture, security, data, integrations, and processes.</li>
<li>Advise on key program initiatives and technology roadmaps. Lead compliant/secure tech implementation. Influence automation toolset implementations to be aligned with strategic roadmap and standards.Maximize value derived from toolset by increasing knowledge across Tech at Lilly of capabilities</li>
<li>Oversee the design, implementation, and evolution of the platform, ensuring stability, security, and scalability. apply the least privilege principle, ensure compliance with Lilly's security controls, and oversee security awareness training.</li>
<li>Leverage automation and self-service initiatives to enhance operational efficiency and user experience. Ensure the effective integration of ITSM tools with other enterprise platforms. Stay ahead of industry trends and emerging technologies to enhance service management capabilities.</li>
<li>Stay current on ServiceNow products,securityand applicable integrated technologies</li>
<li>You willmaintainan unwavering emphasis on enhancing the digital user experience and boosting end-user productivity, transitioning technology from being a mere enabler to becoming the main driver of productivity for our workforce.</li>
<li>Be ready todemonstrateApplied knowledge of ITIL v3 and Applied knowledge of NIST Cyber Security Framework</li>
<li>You will lend your uniqueexpertiseto a diverse, driven, and successful team.</li>
</ul>
What You Should Bring
<ul><li>ServiceNow Certified System Administrator (CSA) or equivalent ITSM platform certifications</li>
<li>Clearexpertisein utilising AI and Automation toeliminatemanual workloadand reduce complexities of theremainder, including educating others on how to do the same.</li>
<li>Experience with Agile and DevOps methodologies</li>
<li>Demonstrated influence, communication, presentation, and facilitation skills.</li>
<li>Demonstrated strong partnership skills and influence with business partners inside business unit context.</li>
<li>Strong organizational and communication skills with multiple examples of being able to convey complex ideas and thoughts in manners that resulted in definitive directions and results.</li>
<li>Strong negotiation skills.</li>
<li>Proactive,demonstratedability to challenge the status quo and strong ability to drive peers and above totimelydecisions.</li>
<li>A high levelof intellectual curiosity, external perspective, technicalaptitudeand innovation interest.</li>
</ul>
Your Basic Qualifications
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Information Technology, or related technical field</li>
<li>5+ years of experience in IT service management, with a strong focus on ITSM platforms (e.g., ServiceNow, BMC Remedy, Cherwell)</li>
<li>Proven experience with technical leadership global/diverse teams and large-scale ITSM transformations.</li>
<li>Experience with ITIL frameworks, service operations, and process improvement methodologies.</li>
</ul>
Additional Information:
<ul><li>Position requires 5-10% travel</li>
<li>Positionlocatedin Indianapolis, Indiana working in a hybrid model</li>
<li>Other locations may be considered based onappropriate experience.</li>
</ul>
Organization Overview
Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we redefine what&rsquo;s possible through tech to advance our purpose &ndash; creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.
The Digital Core team is at the forefront of digitalization to enable and advance the entire company, with increased productivity and best-in-class Customer experiences. This team provides a robust and sustainable infrastructure of hardware, software and services that are critical to enable our global workforce and business to operate and transform. As leaders in technology and understanding business requirements and challenges, this team defines and leads the overall company technology strategy.
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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$124,500 - $182,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
124,500.00 - 182,600.00 Annual</div></div><div></div>

Associate Director – Global Service Management Platform Architect

<div>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&rsquo;re looking for people who are determined to make life better for people around the world.
Transform Data into Supply Chain Excellence
We're seeking a Supply Chain Analyst who combines analytical expertise with business acumen to drive data-informed decision-making across our global supply chain operations.
What You'll Do
You'll be at the intersection of data science, operations research, and supply chain strategy. Starting with transactional data from our enterprise systems, you'll build analytics solutions that help our teams identify trends, optimize operations, and improve business outcomes. This isn't just about reporting what happened&mdash;it's about using advanced analytical techniques to predict what will happen and prescribe what should happen.
You'll partner with stakeholders across Manufacturing, Quality, Planning, and Distribution to understand their challenges, then design and deploy analytics solutions using platforms like Power BI, SAP. Whether you're optimizing inventory levels, improving production scheduling, or analyzing distribution networks, you'll apply quantitative methods to deliver measurable value.
What Sets This Role Apart<ul><li>
End-to-End Ownership: You'll be involved in the complete lifecycle&mdash;from identifying business needs through solution design, deployment, and adoption</li><li>
Diverse Impact: Your work will influence decisions across all levels of the organization, from frontline planners to executive leadership</li><li>
Technology Innovation: You'll explore emerging analytics capabilities and shape how we leverage new tools and methodologies</li><li>
Global Perspective: You'll gain exposure to pharmaceutical supply chains spanning multiple continents and regulatory environments</li></ul>
What You Bring
Required:<ul><li>
Bachelor's degree in Supply Chain, Data Science, Operations Research, Industrial Engineering, or related quantitative field.</li><li>
5+ years in manufacturing/supply chain roles with hands-on understanding of material flows and supply chain processes.</li><li>
Strong technical skills in Power BI, SAP, Excel, and SQL.</li><li>
Experience applying analytical methods to solve business problems.</li></ul>
Highly Valued:<ul><li>
Pharmaceutical or regulated industry background</li><li>
Operations research techniques: optimization, simulation, statistical modeling, forecasting</li><li>
Programming skills (Python, R) for advanced analytics augmented with AI</li><li>
Lean Six Sigma training and project experience</li><li>
Advanced degree in quantitative field</li></ul>
Who Thrives Here
You're someone who gets energized by turning messy data into clear insights. You're comfortable with ambiguity and can balance the rigor of quantitative analysis with the realities of business constraints. You build relationships easily, communicate complex ideas simply, and influence others through the power of data-driven storytelling.
You're technically capable but business-minded. You understand that the best analytical solution is the one that actually gets used and drives action. You're curious about emerging technologies but pragmatic about implementation. And you're committed to continuous improvement&mdash;both in your own skills and in the processes you support.
Why Join Us
This role offers a unique vantage point on pharmaceutical supply chains, blending process knowledge, stakeholder engagement, and advanced analytics. You'll develop expertise that's increasingly valuable as organizations continue their digital transformation journeys. You'll work with passionate colleagues who are committed to getting medicines to patients reliably and efficiently.
Additional Information:
<ul><li>This is an onsite role based in Indianapolis.</li><li>
Travel expectation up to 10%, domestic and international.</li></ul>
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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$127,500 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Associate Director - Supply Chain Analytics

<div>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&rsquo;re looking for people who are determined to make life better for people around the world.
Organization and Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
 
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes. 
The AI Application Development function is a key horizontal capability within DDCS's Data Sciences &amp; Digital Transformation team, responsible for translating the organization's data and AI strategy into production-grade, user-facing applications that accelerate decision-making across innovation and commercialization verticals. This team partners with data scientists, scientific ML engineers, data engineers, and domain specialists throughout the DDCS matrix to deliver AI solutions that are robust, compliant, and directly tied to program impact.
The AI Application Development Engineer will develop, optimize, and fine-tune full-stack AI applications that integrate AI models with front-end user experiences and back-end services to enable workflow automation and decision support across drug delivery science, device design, and development operations. Operating within the DDCS matrix, this role partners with engineers, scientists, and business stakeholders to identify high-value use cases, translate needs into robust AI solutions, and communicate insights to senior technical and business leaders. The engineer collaborates with data scientists and data engineers to ensure modeling approaches and data structures are fit-for-purpose, contributes to the DDCS AI application strategy and architecture, and oversees compliance, security, and risk management across the application lifecycle.
Responsibilities:
AI Application Delivery (Full-Stack)<ul><li>
Develop full-stack applications integrating AI models with intuitive front-end interfaces and scalable back-end services for workflow automation and decision support across DDCS programs.</li><li>
Design and implement AI application architectures connected to APIs, databases, and enterprise systems, ensuring interoperability and secure data exchange.</li><li>
Build and maintain services and APIs that operationalize AI outputs&mdash;recommendations, triage, summarization, and anomaly detection&mdash;within DDCS workflows.</li></ul> 
Model Enablement &amp; Optimization<ul><li>
Fine-tune and embed large language models and machine learning models into production-ready applications using appropriate adaptation techniques.</li><li>
Optimize AI solutions for accuracy, latency, robustness, and cost; implement monitoring and continuous improvement mechanisms post-deployment.</li><li>
Design and maintain CI/CD workflows for AI application and model lifecycle management, enabling repeatability and scalability.</li></ul> 
Use Case Discovery &amp; Stakeholder Partnership<ul><li>
Partner with device engineers, drug delivery scientists, quality, manufacturing, and business stakeholders across the DDCS matrix to understand needs and define high-impact AI use cases.</li><li>
Translate stakeholder needs into product requirements, technical designs, acceptance criteria, and delivery plans; clearly communicate trade-offs and recommendations to senior leaders.</li><li>
Quantify and communicate uncertainty, sensitivity, and robustness to support risk-based technical decision-making.</li></ul> 
Cross-Functional Data &amp; Modeling Collaboration<ul><li>
Collaborate with data scientists and data engineers to ensure data sourcing, structure, and modeling approaches are appropriate for the intended use and decision context.</li><li>
Define data requirements, validation strategies, and operational workflows to ensure robust model performance and reproducibility.</li><li>
Collaborate with the Scientific ML (SciML) horizontal to develop or apply physics-informed or mechanistic-hybrid machine learning approaches for drug delivery and device performance problems.</li><li>
Support data-efficient learning strategies including active learning, Bayesian optimization, and optimal experimental design to reduce testing burden and maximize learning.</li></ul> 
AI Strategy, Architecture, Compliance &amp; Risk Management<ul><li>
Contribute to the DDCS AI application strategy and architectural blueprint: reusable patterns, reference architectures, and platform choices.</li><li>
Apply responsible AI principles, security controls, and compliance standards throughout the application lifecycle.</li><li>
Identify and mitigate risks related to privacy, security, model behavior, and regulatory compliance (FDA, GxP, 21 CFR Part 11).</li></ul>
Basic Requirements:<ul><li>
Master's degree in Computer Science, Machine Learning, Data Science, Biomedical Engineering, Mechanical Engineering, Chemical Engineering, Applied Mathematics, or related field</li><li>
5+ years of demonstrated experience developing full-stack software integrating AI models into user-facing products or decision-support tools</li><li>
Experience building and deploying AI or machine learning systems, including at least one production deployment.</li><li>
Experience with large language model-enabled applications: retrieval-augmented generation (RAG), tool use, and agent-based workflows.</li><li>
Strong software engineering skills in Python and one or more additional languages (TypeScript, JavaScript, Java, or C#), including API and microservices design.</li><li>
Experience with cloud-based deployment, ML Ops toolchains, observability, and performance/cost optimization in production environments.</li><li>
Systems thinking: understanding how data, models, applications, and people interact</li><li>
Clear communication of AI capabilities, limitations, and business value to diverse audiences</li></ul>
Additional Preferences:<ul><li>
PhD in relevant field and 2+ years of experience as listed above</li><li>
Familiarity with regulated environments and experience implementing security, privacy, documentation, and auditability requirements across the system lifecycle.</li><li>
Domain experience in drug delivery, medical devices, combination products, human factors, manufacturing, or quality analytics.</li><li>
Demonstrated ability to collaborate effectively across data science, data engineering, and engineering teams.</li><li>
Strong written and verbal communication skills with demonstrated ability to present technical concepts to senior technical and business leaders.</li><li>
Full-stack AI application design and delivery from prototype to production</li><li>
LLM and ML model integration, fine-tuning, and operationalization</li><li>
Cross-functional collaboration and use case translation within a matrix organization</li><li>
Responsible AI: security, compliance, and model risk management in regulated environments</li><li>
Scientific curiosity and domain engagement with drug delivery device development problems</li></ul>
Other Information:<ul><li>
Trave up to 10%</li><li>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Advisor - AI Application Development Engineer – Full-Stack AI Applications

<div>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&rsquo;re looking for people who are determined to make life better for people around the world.
Organization Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly&rsquo;s Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics.
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes.
The Modeling &amp; Simulation team within DDCS advances predictive modeling capabilities across molecular-to-system scales and single-to-multi-physics domains, integrating scientific machine learning (SciML) and AI to accelerate design, de-risk development, and deepen mechanistic understanding for drug delivery systems.
We are seeking an innovative Advisor - Scientific Machine Learning Scientist to join the Modeling &amp; Simulation team. This role uniquely combines deep domain expertise in physics and engineering with cutting-edge machine learning techniques to solve complex scientific problems that traditional approaches cannot address. You will develop physics-informed neural networks, hybrid models, and multi-scale modeling solutions that accelerate device innovation, optimize formulations, and enhance patient outcomes &mdash; while communicating insights to senior leadership to drive strategic decisions.
This is a hands-on technical role that combines model development, capability building, and cross-functional collaboration to inform decisions from molecular interactions and material behavior to fluid/solid mechanics, device performance, and patient-use conditions.
Responsibilities:
Scientific Model Development &amp; Deployment<ul><li>
Design &amp; Build Physics-Informed Models: Develop physics-informed neural networks (PINNs), operator learning architectures (DeepONets, FNOs, GNOs), and hybrid modeling approaches that combine mechanistic/first-principles models with data-driven ML components to capture complex phenomena in device performance, drug release kinetics, and patient interactions.</li><li>
Multi-Scale &amp; Multi-Physics Integration: Build models that integrate information from molecular to device to patient levels, incorporating temporal dynamics and heterogeneous data sources; create surrogate models that efficiently approximate expensive computational simulations (FEM, CFD) to enable rapid design space exploration.</li><li>
Uncertainty Quantification &amp; Decision Support: Implement Bayesian approaches, ensemble techniques, Gaussian processes, and active learning to provide confidence bounds critical for medical device safety decisions and regulatory submissions.</li><li>
Deploy &amp; Scale on Modern Compute: Leverage HPC/GPU clusters and cloud infrastructure to develop, test, and deploy models; champion software engineering best practices (version control, CI/CD, testing, reproducibility, MLOps).</li></ul>
Use Case Identification &amp; Solution Architecture<ul><li>
Partner Across Disciplines: Collaborate with drug delivery scientists, device engineers, formulation scientists, CAE/CFD specialists, and product development teams to understand technical challenges and identify high-impact opportunities for scientific ML applications.</li><li>
Translate Science to Solutions: Convert complex scientific problems into appropriate mathematical formulations; select optimal modeling paradigms; evaluate trade-offs between model complexity, interpretability, computational cost, and predictive accuracy.</li><li>
Design End-to-End Workflows: Architect modeling solutions for device optimization, formulation development, quality prediction, failure mode analysis, and personalized dosing; integrate scientific ML models into broader analytics workflows and decision support systems.</li></ul>
Decision Support, Leadership Communication &amp; Strategic Impact<ul><li>
Embed Modeling in the Business: Ensure modeling is tightly coupled to program milestones, risk assessments, and regulatory strategy by partnering with engineering, device design, materials, formulation, human factors, clinical, and quality teams.</li><li>
Communicate &amp; Influence: Translate complex scientific ML findings into clear, compelling narratives for both technical experts and business leaders; present modeling insights and recommendations to senior leadership to influence device design, formulation strategies, and development priorities.</li><li>
Quantify Value: Develop quantitative business cases demonstrating the value of scientific ML investments in reducing development time, improving product performance, and mitigating risks; create visualizations that effectively communicate model predictions, uncertainties, and actionable recommendations.</li></ul>
Research Excellence &amp; Continuous Innovation<ul><li>
Advance State-of-the-Art: Stay current with emerging techniques in scientific ML, physics-informed learning, and computational science; establish a technology roadmap for digital twins, reduced-order models, and multifidelity frameworks.</li><li>
Publish &amp; Lead Externally: Publish research findings in peer-reviewed journals and present at scientific conferences to establish thought leadership; drive external collaboration that amplifies internal capabilities and impact.</li><li>
Mentor &amp; Raise the Bar: Mentor team members on scientific computing and hybrid modeling approaches; contribute to intellectual property development and competitive differentiation through novel modeling methodologies.</li></ul>
Basic Requirements:<ul><li>
PhD in Computational Science/Engineering, Applied Mathematics, Physics, Chemical/Mechanical/Biomedical Engineering, or Computer Science (with scientific computing focus)</li><li>
2+ years of experience conducting independent research on applying expertise in both domain physics and machine learning toward technical or business problem solving.</li><li>
Expertise in strategic thinking and problem framing</li><li>
Experience promoting cross-functional collaboration in a matrix organization</li><li>
A growth mindset with a passion for learning, emerging technologies, and working across disciplines.</li></ul>
Additional Preferences:<ul><li>
Expert-level proficiency in theory and application of at least one physics-based method (e.g., molecular dynamics, CFD, FEA) and foundational knowledge of machine learning / deep learning frameworks.</li><li>
Proficiency with Python and scientific computing libraries (NumPy, SciPy, PyTorch/TensorFlow/JAX); experience with HPC environments (MPI, GPU/CUDA).</li><li>
Experience in pharmaceutical, medical device, biotechnology, or healthcare industries.</li><li>
Understanding of drug delivery mechanisms, pharmacokinetics/pharmacodynamics, transport phenomena, or materials science.</li><li>
Breadth across scientific machine learning (ML) methods: PINNs, operator learning (DeepONets, FNOs, GNOs), multifidelity surrogates, Gaussian processes, active learning, and Bayesian UQ/calibration for parameter inference and decision support.</li><li>
Experience with ASME V&amp;V 40 and model risk classification</li><li>
Familiarity with verification, validation, and regulatory submissions for modeling evidence.</li><li>
Hands-on experience with common tools (illustrative, not prescriptive) in the following areas: MD tools (LAMMPS, GROMACS, OpenMM); CFD/FEA tools (OpenFOAM, COMSOL, Abaqus, Ansys); ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn); workflow/computing (MATLAB, Julia, CUDA, Slurm, Azure/AWS, Git, containers, CI/CD); data tools (Pandas, MLflow, DVC).</li><li>
Evidence of linking modeling to business value &mdash; portfolio decisions, design tradeoffs, robustness/DFM, cost/schedule risk reductions.</li><li>
Excellent communication (visualization, scientific storytelling) and a record of peer-reviewed publications and conference presentations.</li></ul>
Other Information<ul><li>
Travel up to 10%</li><li>
Position: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Advisor - Scientific Machine Learning Scientist - Drug Delivery Device Development

<div><div>Posted Date
2/25/2026
</div><div>Description
<div>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&rsquo;re looking for people who are determined to make life better for people around the world.
Location: San Diego, CA; San Francisco, CA; Louisville, CO; Indianapolis, IN; Boston, MA
Reports to: Head of Architecture4Insight, Data Foundry
Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.
About Data Foundry:
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.
Position Summary:
The Senior Director, Cloud Platforms &amp; Agent Infrastructure will lead technical architecture and platform engineering for Data Foundry's cloud-native infrastructure. Reporting to the Head of Architecture4Insight, you will build scalable, secure, and agent-ready systems that enable both human scientists and autonomous AI agents to accelerate molecule discovery.
You will architect and operate the computational infrastructure, APIs, and workflow automation systems that power real-time data access, analytical method deployment, and agent-driven experimentation &mdash; partnering closely with the Frontier AI group to ensure autonomous agents can reliably access data, invoke methods, and control laboratory systems at scale. As the enabling foundation across all Data Foundry pillars, this role provides Methods4Insight with production-ready platforms for deploying analytical methods as agent-callable APIs; integrates with Automation &amp; Scale4Insight for real-time data capture from laboratory instruments; and partners with Preparedness4Insight to embed governance, metadata standards, and FAIR principles directly into platform design.
The ideal candidate brings proven experience building cloud-native platforms in life sciences, deep expertise in modern software architecture and DevOps, and a track record of translating scientific requirements into scalable technical solutions. Experience with AI agent workflows or MCP server infrastructure is highly valued.
Responsibilities:
<ul><li>Lead the design and operation of Data Foundry&rsquo;s cloud-native infrastructure (AWS, Azure, and/or GCP), including infrastructure-as-code, containerization, orchestration, and self-service platforms that empower discovery scientists to deploy tools and run analyses at scale.</li>
<li>Partner closely with the Frontier AI group to build agent-ready infrastructure&mdash;including APIs with structured error handling, versioning, and audit trails; Model Context Protocol (MCP) servers; and real-time data streaming architectures&mdash;that enable autonomous AI agents to access data, invoke analytical methods, and control laboratory systems.</li>
<li>Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars: deploying Methods4Insight&rsquo;s analytical models as production APIs, integrating Scale4Insight&rsquo;s real-time instrument data streams, and embedding Preparedness4Insight&rsquo;s governance and metadata standards into platform design.</li>
<li>Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL) that automate data pipelines, enable closed-loop experimentation, and provide reusable workflow templates for scientists.</li>
<li>Build data access and integration layers providing unified interfaces to diverse data sources (LIMS, ELNs, instruments, databases), with caching, indexing, and query optimization for interactive analytics and agent queries.</li>
<li>Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures used across Data Foundry, establishing software engineering best practices and modern development standards.</li>
<li>Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems, establish SLAs, and represent Data Foundry in enterprise architecture forums.</li>
<li>Build, mentor, and help develop a high-performing platform engineering team of architects, software engineers, and DevOps specialists, fostering a culture of technical excellence and continuous learning.</li>
<li>Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy, monitoring emerging technologies and establishing KPIs for platform performance, cost efficiency, and scientist satisfaction.</li>
</ul>
Basic Requirements:
<ul><li>MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software.</li>
<li>6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry.</li>
</ul>
Additional Preferences:
<ul><li>Proven track record leading platform engineering or infrastructure teams (6&ndash;10+ professionals) delivering production systems.</li>
<li>Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security.</li>
<li>Strong software engineering skills with experience in multiple programming languages and modern development practices.</li>
<li>Experience building APIs, microservices, and integration layers for complex scientific or technical systems.</li>
<li>Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions.</li>
<li>Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders.</li>
<li>Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically.</li>
<li>Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration.</li>
<li>Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines.</li>
<li>Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics.</li>
<li>Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns.</li>
<li>Track record of founding or building platforms from ground up, not just maintaining existing systems.</li>
<li>Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts.</li>
<li>Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams.</li>
<li>Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.</li>
</ul>
Additional Information:
Physical Demands/Travel:
The physical demands of this job are consistent with an office environment. This position will require travel (~15&ndash;20%) to collaborate with teams across multiple Lilly sites and occasional external conferences.
Work Environment:
This position&rsquo;s work environment is primarily in an office with computational resources, with regular interaction with laboratory environments to understand data generation and system integration requirements.
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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$193,500 - $283,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
193,500.00 - 283,800.00 Annual</div></div><div></div>

Director - Cloud Platforms & Agent Infrastructure

Explore 14+ Bartender lilly reveli in Indianapolis this March. Find roles across top companies and apply now to boost your career.