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supplier quality engineer

senior quality assurance engineer

Beckman Coulter Life Sciences

<div>Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Beckman Coulter Life Sciences, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.
You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.
At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results.
We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory.
It&rsquo;s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we&rsquo;re just beginning. Working together, let&rsquo;s put our time and talents together to advance human health for tomorrow.
Learn about the Danaher Business System which makes everything possible.
The Senior Quality Assurance Engineer is responsible for owning quality related processes in an instrument manufacturing environment, guiding cross-functional teams through Beckman&rsquo;s quality management system requirements, and ensuring product quality for Beckman&rsquo;s customers.
This position reports to the Senior Manager - Manufacturing Quality and is part of the Quality &amp; Regulatory Affairs organization located in Indianapolis, IN. This will be an on-site role.
In this role, you will have the opportunity to:<ul><li>
Represent Quality Assurance on cross functional teams tasked with business critical initiatives ranging from quality improvement projects to new product transfers and launches.</li><li>
Apply your insight of current industry standards and manufacturing best practices, and how they relate to internal policies and procedures. Influence interpretation of internal policies and procedures to ensure quality and compliance.</li><li>
Monitoring and analyzing quality performance: First-Pass Yield (FPY), Defect Per Unit (DPU), Complaints and other necessary Quality metrics to ensure high product quality and process improvement opportunities are identified.</li><li>
Work closely with Manufacturing, Manufacturing Engineering, Development, Technical Support, and Suppliers to Identify improvement opportunities and driv problem solving activities using quality engineering tools.</li></ul>
The essential requirements of the job include:<ul><li>
Working knowledge of ISO 9001 &amp; ISO 13485 standards, and 21 CFR Part 820 &amp; EU MDR/IVDR regulations</li><li>
Bachelor&rsquo;s Degree (minimum) in engineering or other science or related field; or equivalent experience required.</li><li>
5+ years&rsquo; experience (or 3+ with Master&rsquo;s Degree) in engineering, manufacturing and / or quality systems (ISO 9001), medical device (ISO 13485), pharmaceutical, related life sciences or other regulated industries.</li><li>
Effective leadership, communication, interpersonal, and problem-solving skills.</li></ul>
Travel, Motor Vehicle Record &amp; Physical/Environment Requirements:<ul><li>
Travel requirements &lt; 10% of the time, domestic and international</li><li>
Overnight travel may be required</li><li>
Be able to occasionally lift and/or move up to 40 pounds.</li></ul>
It would be a plus if you also possess previous experience in:<ul><li>
Process Validations, either through development of validation strategies, plans, &amp; protocols or execution and reporting.</li><li>
Quality Engineering tools such as Six Sigma, DMAIC, Statistical Process Control, 5 why&rsquo;s, 8D, PFMEA, Design of Experiment, etc.</li><li>
Oracle as an ERP and IQVIA as an eQMS</li></ul>
Beckman Coulter Life Sciences, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.</div>

Senior Quality Assurance Engineer

Clinical Architecture

<div>
 
 Who We Are
 
 
 
 Clinical Architecture is at the forefront of healthcare IT innovation. Our team is an ambitious group of diverse leaders who balance creativity and expertise to solve tough problems that make a difference. Our environment is positive, casual, and comprised of people dedicated to delivering world-class solutions and exceptional customer service. Come join our team for happier workdays.
 
 
 
 About The Position
 
 
 
 Clinical Architecture is seeking a Software Test Engineer Lead to join our team in the Indianapolis, IN area. The Software Test Engineer Lead will have experience with healthcare messaging and will oversee quality assurance initiatives across our software products. The ideal candidate will bring expertise in validating complex healthcare systems, ensuring data integrity, and supporting interoperability workflows. This role requires strong analytical thinking, hands-on testing skills, and the ability to collaborate across Engineering, Product, and Automation teams to drive a culture of quality.
 
 
 
 
 This role is required to be on site at our Carmel, IN Headquarters. Clinical Architecture offers ample flexibility to accommodate a healthy work-life balance.
 
 
 
 
 
 
 Applicants must be authorized to work in the U.S. without sponsorship.
 
 
 
 
 
 
 Providing false information on application questions may result in automatic dismissal of your application. Please answer questions truthfully and to the best of your ability.
 
 
 
 
 
 Responsibilities
 
 
 
 
 Quality Assurance and Testing:
 
 
 
 <ul>
 <li>
 Analyze software requirements to ensure clarity, completeness, and testability.
 </li>
 <li>
 Design, document, and maintain comprehensive test cases and support test artifacts.
 </li>
 <li>
 Execute tests to validate functionality, usability, and overall product quality.
 </li>
 <li>
 Perform exploratory, ad-hoc, regression, load, and system testing.
 </li>
 <li>
 Validate software performance across multiple environments.
 
 
 </li>
 </ul>
 
 Defect Management and Validation:
 
 
 
 <ul>
 <li>
 Detect, report, and track defects throughout the development lifecycle.
 </li>
 <li>
 Re-test resolved defects to ensure proper fixes are implemented.
 </li>
 <li>
 Traverse and validate database entries using SQL queries.
 </li>
 <li>
 Research and replicate customer-reported issues to support effective troubleshooting.
 
 
 </li>
 </ul>
 
 Collaboration and Communication:
 
 
 
 <ul>
 <li>
 Conduct peer reviews of test plans, requirements, and design documents.
 </li>
 <li>
 Participate in design reviews to ensure quality standards are embedded early.
 </li>
 <li>
 Communicate effectively with Engineering regarding system issues and defects.
 </li>
 <li>
 Partner with Product Management to clarify requirements and identify gaps.
 </li>
 <li>
 Review end-user documentation, providing guidance on content accuracy and usability.
 
 
 </li>
 </ul>
 
 Process Improvement and Leadership:
 
 
 
 <ul>
 <li>
 Provide insights and recommendations to improve Product Quality processes and efficiency.
 </li>
 <li>
 Support the Automation team by supplying test scenarios, use cases, and test data.
 </li>
 <li>
 Develop deep understanding of Clinical Architecture's products and workflows.
 </li>
 <li>
 Champion a culture of quality across the organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Associate degree in Computer Science, Information Technology, or equivalent work experience.
 </li>
 <li>
 5+ years of experience testing applications for usability, functionality, and performance.
 </li>
 <li>
 Hands-on experience validating software using SQL queries.
 </li>
 <li>
 CTFL or equivalent QA certification preferred.
 </li>
 <li>
 Experience with API testing, including test tools such as Postman, Swagger, or automation frameworks preferred.
 </li>
 <li>
 Coding or scripting experience preferred.
 </li>
 <li>
 Healthcare messaging experience (e.g., HL7, FHIR, CCD, X12) preferred.
 
 
 </li>
 </ul>
 
 Why Clinical Architecture?
 
 
 
 
 We offer:
 
 
 
 <ul>
 <li>
 Opportunities for learning, development, and growth.
 </li>
 <li>
 Experiences that connect you with colleagues.
 </li>
 <li>
 A laid-back work environment with thoughtful amenities.
 </li>
 <li>
 Paid Volunteer Time, Paid Holidays &amp; PTO, including our own winter break week for full-time team members.
 </li>
 <li>
 Sabbatical opportunities for tenured team members.
 </li>
 <li>
 Comprehensive Medical, Dental, Vision, and ancillary insurance options for eligible employees.
 </li>
 <li>
 Maternity and Parental leave benefits.
 </li>
 <li>
 Employer paid Short-term Disability &amp; Long-term Disability.
 </li>
 <li>
 Health and Wellness incentives.
 </li>
 <li>
 401k Matching.
 </li>
 <li>
 Better workdays.
 
 
 </li>
 </ul>
 
 Clinical Architecture is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity or expression, sexual orientation, age, disability, veteran status, marital status, or any other protected characteristic.
 
</div>

Software Test Engineer Lead

Comfort Inn & Suites North at the Pyramids by Choice Hotels

Job Summary We are seeking a dynamic and skilled Hotel Maintenance Engineer to ensure the seamless operation and upkeep of our hotel facilities. In this vital role, you will be responsible for maintaining the physical infrastructure, troubleshooting mechanical and electrical issues, and ensuring all systems operate efficiently to provide guests with a safe, comfortable, and enjoyable stay. Your expertise in industrial maintenance, HVAC systems, hydraulics, electrical work, and technical service will be instrumental in supporting our commitment to excellence. This position offers an exciting opportunity to apply your technical skills within a vibrant hospitality environment, contributing directly to guest satisfaction and operational success.Responsibilities<ul><li>Perform routine inspections and preventive maintenance on building systems including HVAC, electrical, plumbing, and mechanical equipment to ensure optimal performance.</li><li>Troubleshoot and repair diverse issues involving hydraulics, electrical circuits (including high voltage and low voltage systems), and mechanical components using schematics and precision measuring instruments.</li><li>Operate various tools and machinery such as scissor lifts, welding equipment (including &lt;LOCATION&gt; welding), and industrial mechanics tools to execute repairs effectively.</li><li>Manage maintenance requests through the Computerized Maintenance Management System (CMMS), documenting work orders, parts usage, and service histories accurately.</li><li>Conduct field service activities across the manufacturing facility or hotel premises, ensuring compliance with safety standards and industry regulations.</li><li>Collaborate with technical sales teams when necessary to recommend upgrades or new systems that enhance operational efficiency.</li><li>Maintain detailed records of maintenance activities, safety inspections, and system updates while adhering to schematics and technical manuals.</li><li>Support emergency repairs promptly to minimize downtime and ensure guest safety at all times.</li><li>Assist in training team members on safety procedures, equipment operation, and basic troubleshooting techniques.</li></ul>Experience<ul><li>Proven industrial mechanic experience with a strong background in manufacturing facilities or similar environments.</li><li>Extensive electrical experience including working with high voltage (&lt;PERSON&gt;) and low voltage systems; familiar with ammeters, ohmmeters, and other diagnostic tools.</li><li>Knowledge of HVAC/R systems with the ability to troubleshoot heating, ventilation, air conditioning, refrigeration units, and related controls.</li><li>Skilled in welding techniques (including &lt;LOCATION&gt; welding) along with the use of precision measuring instruments for quality assurance.</li><li>Experience working with programmable logic controllers (PLCs), schematics interpretation, hydraulic systems, and CMMS platforms.</li><li>Demonstrated ability to perform analysis skills for troubleshooting complex mechanical or electrical issues efficiently.</li><li>Field service experience in manufacturing or industrial settings is highly desirable.</li><li>Strong customer service orientation combined with excellent communication skills in English; military background is a plus for discipline-driven environments. Join our team as a Hotel Maintenance Engineer where your technical expertise will directly impact guest satisfaction by maintaining a safe, efficient environment!</li></ul>Job Types: Full-time, Part-time, TemporaryBenefits:<ul><li>Employee discount</li><li>Professional development assistance</li></ul>Work Location: In person

Hotel Maintenance Engineer

Asphalt Materials Inc

<div><h1 class="jobSectionHeader">Build your career at Asphalt Materials, Inc!</h1> 
The Product Innovation Engineer is responsible for conceptualizing, designing, and developing new products or enhancing existing ones to meet customer needs and market demands. This role involves collaborating with cross-functional teams, including R&amp;D, design, marketing, and manufacturing, to ensure the successful implementation of innovative solutions. The engineer is expected to stay up-to-date with emerging technologies, industry trends, and customer feedback to drive continuous improvement and innovation. 
 
Essential Functions
Product Development<ul><li>
Lead the ideation, design, and development of new products or product features from concept to launch</li><li>
Conduct market research and gather customer insights to identify opportunities for innovation</li><li>
Utilize CAD software and other engineering tools to create detailed product designs and prototypes</li><li>
Work closely with manufacturing teams to ensure design feasibility and optimize production processes</li></ul>
Innovation and Research<ul><li>
Explore and integrate new technologies, materials, and processes to enhance product performance and customer experience</li><li>
Collaborate with R&amp;D teams to experiment with new ideas, conduct testing, and refine product concepts</li><li>
Analyze industry trends and competitive products to inform the innovation strategy</li></ul>
Project Management<ul><li>
Manage product innovation projects, including setting timelines, budgets, and milestones</li><li>
Coordinate with cross-functional teams to ensure projects are completed on time and within scope</li><li>
Provide regular updates to stakeholders on project progress and challenges</li></ul>
Quality Assurance<ul><li>
Ensure all products meet quality standards and regulatory requirements</li><li>
Participate in testing and validation processes to verify product performance and reliability</li><li>
Identify and address potential risks in the design and development stages</li></ul>
Customer Focus<ul><li>
Engage with customers to understand their needs, preferences, and pain points</li><li>
Translate customer feedback into actionable product improvements and innovations</li><li>
Support the marketing and sales teams in communicating product benefits and features to customers</li><li>
Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company&rsquo;s core values, competencies, and skills.</li></ul>
Education Qualifications<ul><li>
Bachelor's Degree in Engineering, Innovation Management, or a related field is required</li></ul> 
Experience Qualifications<ul><li>
Experience with rapid prototyping, 3D printing, and other advanced manufacturing technologies is preferred</li></ul> 
Skills and Abilities<ul><li>
Proven experience in product development and innovation, preferably in a related industry</li><li>
Proficiency in CAD software and other engineering design tools</li><li>
Strong understanding of manufacturing processes and materials</li><li>
Excellent problem-solving skills and a creative mindset</li><li>
Strong project management skills with the ability to manage multiple projects simultaneously</li><li>
Good communication and collaboration skills, with experience working in cross-functional teams</li><li>
Knowledge of industry trends and emerging technologies</li></ul> 
Licenses and Certifications<ul><li>
Valid driver's license is required</li></ul> 
Working Conditions/Physical Demands<ul><li>
Ability to pass a drug test</li></ul>
About Asphalt Materials, Inc.
Asphalt Materials, Inc. is a privately held, family-owned business headquartered in Indianapolis. Since 1956, Asphalt Materials has prioritized safety and created a people-focused culture around asphalt expertise and innovation. Through its commitment to building long-term relationships with employees, customers and vendors based on trust and confidence, Asphalt Materials creates solutions to issues affecting customers and our communities. Asphalt Materials is a part of The Heritage Group&rsquo;s family of businesses. Learn more at www.asphalt-materials.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#AsphaltMaterialsInc</div>

Product Innovation Engineer

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

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>
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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

<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

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