head of production applied ai

Lilt- Lega Italiana per la Lotta contro i Tumori

<div><h1 class="jobSectionHeader">About LILT</h1>
AI is changing how the world communicates &mdash; and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues&mdash;Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1&mdash;guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we&rsquo;re building a category-defining company in a $50B+ global translation market being redefined by AI.<h1 class="jobSectionHeader">
Position Overview</h1>
We are seeking an experienced Head of Applied AI Production to lead and scale our multilingual Applied AI production operations. This strategic leadership role will be responsible for executing complex programs, building robust data operations, and scaling production operations. The ideal candidate will bridge the gap between technical requirements and operational excellence, ensuring high-quality multilingual data production at scale.<h1 class="jobSectionHeader">
Key Responsibilities:</h1><h2 class="jobSectionHeader">
Strategic Leadership</h2><ul><li>
Define and execute the vision and strategy for Applied AI production operations</li><li>
Translate business objectives into actionable data production strategies and roadmaps</li><li>
Build scalable frameworks that balance speed-to-market with rigorous quality standards</li><li>
Communicate value, progress, and strategic initiatives effectively to executive stakeholders</li></ul><h2 class="jobSectionHeader">
Operational Excellence</h2><ul><li>
Lead end-to-end production operations for Applied AI, ensuring on-time, high-quality delivery</li><li>
Design and implement standardized processes, workflows, and quality frameworks across production teams</li><li>
Optimize resource allocation, prioritization, and capacity planning to maximize team productivity</li><li>
Establish metrics and KPIs to measure operational efficiency, quality, and business impact</li><li>
Drive continuous improvement initiatives and identify opportunities for innovation</li></ul><h2 class="jobSectionHeader">
Team Leadership &amp; Development</h2><ul><li>
Build, mentor, and scale a high-performing production team, including project managers, data specialists, and quality assurance professionals</li><li>
Foster a culture of excellence, accountability, and collaboration</li><li>
Partner with cross-functional leaders in Research, Engineering, and GTM to ensure alignment and effective collaboration</li></ul><h2 class="jobSectionHeader">
Technical &amp; Quality Oversight</h2><ul><li>
Ensure rigorous quality assurance processes are in place</li><li>
Make strategic tooling and technology decisions to support scalability and efficiency</li><li>
Implement risk management frameworks to minimize rework and delivery delays</li><li>
Stay current with industry best practices and emerging trends in AI</li></ul><h1 class="jobSectionHeader">
Required Qualifications:</h1><h2 class="jobSectionHeader">
Experience</h2><ul><li>
10+ years of experience in ML Data production operations, program management, or related roles</li><li>
5+ years leading complex ML/AI Data delivery programs at scale</li><li>
Proven track record of scaling operations from small teams (5-10) to enterprise-level (50+)</li><li>
Experience managing multi-million dollar budgets and P&amp;L responsibility</li><li>
History of successfully delivering complex, multi-stakeholder programs on time and within budget</li></ul><h2 class="jobSectionHeader">
Technical Knowledge</h2><ul><li>
Deep understanding of AI/ML workflows, training data requirements, and quality standards</li><li>
Expertise in data annotation, labelling, model benchmarking and evaluation, and data pipeline operations</li><li>
Knowledge of data science, engineering principles, and linguistics as they apply to AI production</li><li>
Experience with production tooling, platforms, and technologies for Applied AI operations</li></ul><h2 class="jobSectionHeader">
Leadership &amp; Skills</h2><ul><li>
Exceptional leadership abilities with experience building and scaling high-performing teams</li><li>
Strong analytical and problem-solving skills with a data-driven decision-making approach</li><li>
Outstanding communication skills with the ability to influence stakeholders at all levels</li><li>
Expertise in process optimization, change management, and operational excellence methodologies</li><li>
Strategic thinking combined with hands-on execution capabilities</li><li>
Ability to thrive in ambiguous, fast-paced, dynamic environments with competing priorities</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience in multilingual AI operations</li><li>
Background in AI-native companies</li><li>
Degree in Computer Science, Data Science, Engineering, or related field</li><li>
Certifications in project management (PMP), process improvement (Lean Six Sigma), or related areas</li><li>
Experience with global, distributed teams and offshore operations</li></ul><h1 class="jobSectionHeader">
Our Story</h1>
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn&rsquo;t used for enterprise products and services inside the company.The quality just wasn&rsquo;t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn&rsquo;t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT&rsquo;s journey is just beginning.<h1 class="jobSectionHeader">
Our Tech</h1>
What sets our platform apart:<ul><li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent</li><li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing</li><li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation</li><li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review</li></ul><h1 class="jobSectionHeader"> 
LILT in the News</h1><ul><li>
Featured in The Software Report&rsquo;s Top 100 Software Companies!</li><li>
LILT makes it onto the Inc. 5000 List.</li><li>
LILT&rsquo;s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.</li><li>
Check out all our news on our website.</li></ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including r&eacute;sum&eacute; screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual&rsquo;s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.</div>

Head of Production, Applied AI

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 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 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 Data Science horizontal within DDCS generates actionable scientific and business insights that accelerate innovation and de-risk commercialization across the DDCS matrix. Data scientists operate at the intersection of device engineering, drug delivery science, clinical evidence, and AI&mdash;partnering with AI application engineers, scientific ML specialists, and data engineers to build end-to-end analytical capabilities that directly shape product design decisions, device performance optimization, and patient outcome strategies.
We are seeking an exceptional Data Scientist to join DDCS's data science team. This role leverages internal and external data to generate actionable scientific and business insights that drive innovation in drug delivery technologies. The ideal candidate combines deep analytical expertise with strong business acumen to identify high-value use cases, develop data-driven solutions, and communicate compelling data stories to senior leadership. You will play a pivotal role in influencing product design decisions, optimizing device performance, and advancing DDCS's mission to improve patient outcomes through innovative drug delivery systems&mdash;operating as a key horizontal contributor within the DDCS matrix.
Responsibilities:
Use Case Identification &amp; Solution Development<ul><li>
Partner with engineers, scientists, and business stakeholders across innovation and commercialization verticals to understand needs and opportunities across the product lifecycle.</li><li>
Identify and prioritize high-impact use cases for data-driven solutions in formulation optimization, device design, quality assurance, and patient adherence.</li><li>
Design and implement analytical frameworks and predictive models to address specific business questions and technical challenges.</li><li>
Develop statistical models, machine learning algorithms, and simulation tools to support decision-making in research, development, and commercialization.</li></ul> 
Scientific &amp; Business Insights Generation<ul><li>
Analyze complex datasets from laboratory experiments, clinical studies, manufacturing processes, device sensors, and real-world evidence to extract meaningful scientific and business insights.</li><li>
Investigate device performance characteristics, patient usage patterns, drug stability, and delivery accuracy to identify opportunities for product improvement and innovation.</li><li>
Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform research priorities and strategic decisions.</li><li>
Synthesize findings from multiple data sources to provide holistic perspectives on device efficacy, safety, and market performance.</li></ul> 
Predictive Modeling &amp; Advanced Analytics<ul><li>
Build, validate, and deploy predictive models for device performance forecasting, failure mode prediction, patient outcome estimation, and quality control optimization.</li><li>
Apply statistical methods including regression analysis, hypothesis testing, survival analysis, and Bayesian inference to experimental and observational data.</li><li>
Collaborate with AI application engineers and scientific ML specialists to develop advanced models including deep learning, NLP, and computer vision applications.</li><li>
Implement model monitoring and performance tracking to ensure continued accuracy and reliability in production.</li></ul> 
Data Storytelling &amp; Leadership Communication<ul><li>
Translate complex analytical findings into clear, compelling narratives that resonate with both technical and non-technical audiences.</li><li>
Create executive-ready visualizations, dashboards, and presentations that communicate insights and recommendations to senior leadership.</li><li>
Present data-driven recommendations to influence product design, development strategies, and investment decisions across the DDCS matrix.</li><li>
Develop business cases with quantitative evidence to support new initiatives, process improvements, and strategic pivots.</li></ul> 
Cross-Functional Collaboration<ul><li>
Work closely with data engineers to define data requirements, ensure data quality, and access appropriate data infrastructure.</li><li>
Collaborate with AI application engineers to transition models from research to production environments.</li><li>
Partner with clinical, regulatory, and quality teams to ensure analytical approaches align with compliance requirements and industry standards.</li><li>
Support research scientists and engineers by providing statistical consultation and analytical expertise.</li></ul> 
Data Strategy, Innovation &amp; Mentorship<ul><li>
Stay current with emerging analytical techniques, machine learning methods, and industry trends in medical device development and digital health.</li><li>
Identify opportunities to apply novel analytical approaches to solve longstanding challenges in drug delivery device development.</li><li>
Contribute to best practices, methodologies, and capabilities within the DDCS data science horizontal.</li><li>
Mentor junior team members and promote a culture of data-driven decision-making across the DDCS matrix.</li></ul>
Basic Requirements:<ul><li>
PhD in Statistics, Biostatistics, Data Science, Computer Science, Computational Biology, Engineering, Physics, Applied Mathematics, or a related quantitative field</li><li>
Experience conducting independent research and developing novel analytical approaches, with demonstrated research excellence through publications, dissertations, or equivalent scholarly work,.</li><li>
Proficiency in Python, R, and/or ML frameworks (i.e. PyTorch, TensorFlow, scikit-learn) and visualization tools (i.e. Tableau, Power BI).</li><li>
Cross-functional collaboration and influence within a matrixed model</li><li>
Regulatory awareness and compliance mindset in GxP/GMP environments</li></ul>
Additional Preferences:
<ul><li>Post-PhD experience in pharmaceutical, biotechnology, medical device, or healthcare industries.</li><li>
Strong foundation in statistical analysis, machine learning, deep learning, and data manipulation through doctoral research or professional experience.</li><li>
Proven ability to work with complex, multi-dimensional datasets and translate analytical findings into actionable recommendations.</li><li>
Understanding of drug delivery mechanisms, pharmacokinetics, and device engineering principles.</li><li>
Experience with clinical trial design, analysis, and interpretation (adaptive designs, survival analysis, patient-reported outcomes).</li><li>
Analytical depth: statistical modeling, machine learning, and advanced data analysis</li><li>
Scientific curiosity and ability to formulate rigorous analytical questions from complex device/drug delivery problems</li><li>
Exceptional data storytelling: translating complex findings into executive-ready insights</li><li>
Strategic business acumen: connecting analytical work to portfolio and program decisions</li><li>
Mentorship and knowledge-sharing orientation</li></ul>
Other Information:<ul><li>
Travel 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>

Data Scientist – Drug Delivery Device Development

R1 RCM

<div>Location: Ascension St. Vincent Hospital
Shift Hours: 6:00 PM - 6:00 AM, 3 - 12 hour shifts per week rotating weekends and holidays
R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry&rsquo;s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration.
As our Customer Service Representative , you&rsquo;ll work to help our patients check into the hospital. It&rsquo;s fast-paced on occasion and you&rsquo;ll be the person they rely on to answer questions during registration. You&rsquo;ll build trust in these interactions by collecting information accurately and quickly but also by listening with compassion - not just to hear information, but to address their fears, concerns, and questions.
To thrive in this job, you&rsquo;ll need to be a confident multi-tasker who is a quick study with technology and can type and answer phones. You don&rsquo;t need to have any previous experience or knowledge in healthcare. Since this is a hospital/lab environment, you will need to be prepared to see illness and injuries. We&rsquo;ll teach you everything you need to know, which makes this a perfect starting point to launch your healthcare career. You must also be up to date on all vaccinations, pass a drug test, and pass a background check prior to hire.
Here&rsquo;s what you can expect working in Patient Registration (Customer Service):
<ul><li>Working on computers and answering phones to intake information in a busy environment. You&rsquo;ll work across multiple screens collecting details that must be input correctly between physician and nurse check-ins. You should feel comfortable working across multiple programs and typing as quickly as patients can talk. You will work around clinicians interrupting the registration process for emergent clinical care.
</li><li>Helping people who may be very ill or worried. We&rsquo;re not human computers intaking information. Patients need you to be there for them and listen carefully to ease their anxiety. You&rsquo;ll ask follow-up questions and build rapport in real time.
</li><li>Fast-paced work environment, often on your feet assisting patients complete their registration. While collecting patient and insurance information may seem straightforward, there is a lot of variation in health plans and coverage, that will require knowledge through training. While the data you collect may be predictable, the people you&rsquo;ll get it from aren&rsquo;t. You must work quickly and expect the unexpected. This is not a casual desk job.
</li><li>A team you can rely on. We care about your progress toward career goals. This is just the first step of your healthcare career at R1 RCM Inc.
</li></ul>Requirements:
<ul><li>High School Diploma or GED
</li><li>Excellent customer service experience
</li></ul>Preferred Skills:
<ul><li>Medical experience
</li></ul>For this US-based position, the base pay range is $15.50 - $23.21 per hour . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
The healthcare system is always evolving &mdash; and it&rsquo;s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you&rsquo;ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. 
 
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team &mdash; including offering a competitive benefits package.
R1 RCM Inc. (&ldquo;the Company&rdquo;) is dedicated to the fundamentals of equal employment opportunity. The Company&rsquo;s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person&rsquo;s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent
To learn more, visit: R1RCM.com
Visit us on Facebook</div>

Overnight Customer Service Representative - Patient Registration

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>Location: Ascension St. Vincent Hospital
Shift Hours: Saturday / Sunday 7:00 AM - 7:00 PM
R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry&rsquo;s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration.
As our Customer Service Representative , you&rsquo;ll work to help our patients check into the hospital. It&rsquo;s fast-paced on occasion and you&rsquo;ll be the person they rely on to answer questions during registration. You&rsquo;ll build trust in these interactions by collecting information accurately and quickly but also by listening with compassion - not just to hear information, but to address their fears, concerns, and questions.
To thrive in this job, you&rsquo;ll need to be a confident multi-tasker who is a quick study with technology and can type and answer phones. You don&rsquo;t need to have any previous experience or knowledge in healthcare. Since this is a hospital/lab environment, you will need to be prepared to see illness and injuries. We&rsquo;ll teach you everything you need to know, which makes this a perfect starting point to launch your healthcare career. You must also be up to date on all vaccinations, pass a drug test, and pass a background check prior to hire.
Here&rsquo;s what you can expect working in Patient Registration (Customer Service):
<ul><li>Working on computers and answering phones to intake information in a busy environment. You&rsquo;ll work across multiple screens collecting details that must be input correctly between physician and nurse check-ins. You should feel comfortable working across multiple programs and typing as quickly as patients can talk. You will work around clinicians interrupting the registration process for emergent clinical care.
</li><li>Helping people who may be very ill or worried. We&rsquo;re not human computers intaking information. Patients need you to be there for them and listen carefully to ease their anxiety. You&rsquo;ll ask follow-up questions and build rapport in real time.
</li><li>Fast-paced work environment, often on your feet assisting patients complete their registration. While collecting patient and insurance information may seem straightforward, there is a lot of variation in health plans and coverage, that will require knowledge through training. While the data you collect may be predictable, the people you&rsquo;ll get it from aren&rsquo;t. You must work quickly and expect the unexpected. This is not a casual desk job.
</li><li>A team you can rely on. We care about your progress toward career goals. This is just the first step of your healthcare career at R1 RCM Inc.
</li></ul>Requirements:
<ul><li>High School Diploma or GED
</li><li>Excellent customer service experience
</li></ul>Preferred Skills:
<ul><li>Medical experience
</li></ul>For this US-based position, the base pay range is $15.50 - $23.21 per hour . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
The healthcare system is always evolving &mdash; and it&rsquo;s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you&rsquo;ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. 
 
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team &mdash; including offering a competitive benefits package.
R1 RCM Inc. (&ldquo;the Company&rdquo;) is dedicated to the fundamentals of equal employment opportunity. The Company&rsquo;s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person&rsquo;s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent
To learn more, visit: R1RCM.com
Visit us on Facebook</div>

Part Time Weekend Customer Service Representative - Patient Registration

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
About Futureforce University Recruiting
Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.
<div><div><div><div><div><div><div>Job Category
</div></div></div></div></div></div></div>Fixed Term &amp; Temporary
<div><div><div><div><div><div><div>Job Details
</div></div></div></div></div></div></div>About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Opportunity
 
Are you curious about how global companies use technology to create a seamless employee experience? Join our Employee Success (ES) Product Management team as an intern and get a front-row seat to the intersection of HR and cutting-edge technology. 
 
In this role, you won't just be watching from the sidelines. You&rsquo;ll work alongside seasoned Product Managers to support the HR technology products that power the daily lives of Salesforce employees worldwide. Whether you&rsquo;re interested in Product Management, Business Analysis, or HR Tech, this internship offers a hands-on foundation in a fast-paced enterprise environment. 
 
What You&rsquo;ll Do 
 
As an ES Product Management Intern, your contributions will directly impact our internal product roadmap. Your core responsibilities will include:
<ul><li>Requirement Discovery: Assist PMs in gathering and defining business requirements to solve real-world employee challenges.
</li><li>Data Analysis: Dive into Excel or Google Sheets to analyze trends and provide data-backed insights that inform product decisions.
</li><li>Quality Assurance: Support product testing and User Acceptance Testing (UAT) to ensure our tools are reliable and intuitive.
</li><li>Process Documentation: Help build the &quot;source of truth&quot; by documenting product enhancements, workflows, and system processes.
</li><li>Cross-Functional Collaboration: Partner with teams across ES, Finance, and various business stakeholders to ensure alignment and project success.
</li></ul><h2 class="jobSectionHeader">Requirements:
</h2><ul><li>Currently pursuing an Undergraduate degree (May 2027 expected graduation date) in MIS, CIS, Data Science, Data analytics, Business, Finance, HR , or a related field.
</li><li>AI: A genuine interest &amp; familiarity with AI tools &amp; applying them to business and people operations
</li><li>Data Literacy: Strong analytical thinking with proficiency in Excel/Google Sheets to interpret data and inform decisions.
</li><li>Operational Agility: Ability to quickly master new systems, follow structured processes, and maintain high attention to detail.
</li><li>Collaborative Communication: Excellent interpersonal skills for partnering with cross-functional teams in Finance, ES, and beyond.
</li><li>Career Curiosity: A proactive interest in HR Tech or Product Management, paired with a drive to ask questions and learn.
</li></ul>Preferred Qualifications:
 
Prior experience with Workday or Salesforce is a nice bonus
<h2 class="jobSectionHeader">Summer 2026 Internship Dates:
 
 
GROUP 1: May 18 - Aug 7th
 
GROUP 2: June 1 - Aug 21st
 
GROUP 3: June 15 - Sep 4th
 
 
This position is ineligible for visa sponsorship. This posting will close on March 10th, 2026.
</h2>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
<div><div><div><div><div><div><div>Accommodations
</div></div></div></div></div></div></div>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
<div><div><div><div><div><div><div>Posting Statement
</div></div></div></div></div></div></div>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.</div>

Summer 2026 Intern - Employee Success Product Analyst

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