advisor - scientific machine learning scientist - drug delivery device development

associate director - supply chain analytics

data scientist – drug delivery device development

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biochemist (formulation team)

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data scientist drug delivery device development

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 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

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

Advisor - Scientific Machine Learning Scientist - Drug Delivery Device Development

<div>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

Eurofins

<div>Company Description 
At Eurofins PSS, we work with leading international companies across the pharma, medical device, food, cosmetic &amp; consumer products industries - who all trust us with their mission-critical testing. For 20 years, our international network of teams have served clients at their sites, across 20 countries.
PSS&reg; is part of Eurofins Scientific, an international life sciences company, providing a unique range of analytical testing services across multiple industries, through a network of over 950 laboratories in 60 countries, and c.a. 63,000 employees. 

 
Life at Eurofins is a meritocracy, where people are empowered to make decisions and are rewarded for their success, allowing them to advance quickly. Become your most extraordinary self with support and development throughout your career. 
Job Description 
Join a hands‑on formulations and process development lab where you&rsquo;ll support testing, experiment execution, and small‑scale manufacturing activities. This role offers broad exposure to analytical methods, lab instrumentation, and end‑to‑end study workflows in a regulated environment.
What You&rsquo;ll Do
Analytical Testing<ul><li>
Perform testing on in‑process samples, including: 
Density, Viscosity, Appearance, UV‑Vis, pH, Osmolality, Particulate Matter (HIAC/MFI), Protein Content, HPLC (SEC, Polysorbate 80)</li><li>
Prepare buffers, calibration solutions, and standards</li></ul>
Lab Operations &amp; Equipment<ul><li>
Set up and operate lab equipment such as: 
Plunger insertion unit, fillers, vial cappers, and other formulation/process devices</li><li>
Support instrument qualification, routine operation, troubleshooting, and documentation</li></ul>
Data &amp; Documentation<ul><li>
Complete sample entry and tracking in LIMS and other lab informatics systems</li><li>
Generate data, verify results, interpret findings, and ensure data integrity</li><li>
Plan experiments and author documentation related to assigned work</li><li>
Perform data review for work completed by teammates</li></ul>
Study Support<ul><li>
Manage assigned studies from start to finish, including:<ul><li>
Securing formulations, excipients, vials, stoppers, and prefilled components</li><li>
Setting up equipment and manufacturing small‑scale drug product</li><li>
Performing dialysis, placebo preparations, sampling, and equipment cleanup</li><li>
Submitting samples and summarizing study data</li></ul></li></ul>
General Lab Support<ul><li>
Maintain instrument calibration and cleanliness</li><li>
Restock supplies and support daily lab readiness</li></ul> 

Qualifications 
Preferred Qualifications<ul><li>
Familiarity with aseptic technique and parenteral formulations</li></ul>
Basic Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in biology, chemistry, or a related scientific field</li><li>
Authorization to work in the United States without restriction or sponsorship</li><li>
Attention to detail and clear written/verbal communication</li><li>
Ability to work independently or with a team</li><li>
Ability to learn new lab techniques, manage multiple tasks, and maintain accurate documentation</li></ul> 

Additional Information 
<ul><li>
Position is full-time, Monday - Friday 8:00 AM to 5:00 PM - overtime as required.</li><li>
Pay range: $21.00 - $23.00</li></ul>
LinkedIn: #LI-EB1<div></div>
Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.</div>

Biochemist (Formulation Team) - Entry Level

BioTAB Healthcare

<div>
 
 TERRITORY MANAGER
 
 
 
 For more than 20 years, BioTAB Healthcare, LLC has supported patients with lymphatic, wound, and circulatory disorders through proven treatment solutions. Headquartered in Missouri, we provide pneumatic compression devices and personalized service to help improve patient outcomes and quality of life. As a family-owned company, we take pride in delivering expert care with a personal touch service.
 
 
 The Territory Manager focuses on building and maintaining relationships with clinicians for pneumatic compression device sales and expanding the customer base within their assigned territory. This role requires a comprehensive understanding of the entire patient process and revenue cycle for all insurance payers including the criteria to qualify patients under CMS guidelines, private payer copays, deductibles, and the required documentation. You will also provide oversight to the Associate Territory Managers and Patient Educators who provide World Class service to patients and healthcare professionals.
 
 
 
 Key Responsibilities
 
 
 
 
 Knowledge of healthcare regulations and insurance processes:
 
 
 
 <ul>
 <li>
 Providing clinical support to accounts during the evaluation process.
 </li>
 <li>
 Developing and maintaining expertise in the company's products.
 </li>
 <li>
 Presenting clinical evidence related to the products.
 </li>
 <li>
 Staying updated on industry trends, compliance requirements, and new products.
 
 
 </li>
 </ul>
 Sales and Business Development
 
 
 <ul>
 <li>
 Developing and implementing sales strategies to meet or exceed sales targets and quotas.
 </li>
 <li>
 Identifying and pursuing new business opportunities, including prospecting and acquiring new clients through
 
 
 </li>
 </ul>
 cold calling, networking, and other sales techniques.
 
 
 <ul>
 <li>
 Driving regional sales, training and managing ATM &amp; Patient Educators.
 </li>
 <li>
 Collaborating with various departments and offices to ensure that sales goals are met.
 </li>
 <li>
 Participates in HQ calls with the Patient Processing team.
 </li>
 <li>
 Completing administrative duties, such as call reports, sales reports, and forecasts.
 </li>
 <li>
 Managing expenses within territory budgets.
 </li>
 <li>
 Building and maintaining relationships with healthcare providers and other referral sources.
 </li>
 <li>
 Educating healthcare professionals &amp; patients about the company's products and services by providing product
 
 
 </li>
 </ul>
 demonstrations and training to clinicians, staff and patients.
 
 
 
 Compliance:
 
 Ensures strict compliance with all applicable healthcare regulations, financial standards, and internal
 
 
 policies, including but not limited to CMS and OFCCP guidelines for patient intake, data management, Quality
 
 
 Management System, documentation, and training.
 
 
 
 Management of People:
 
 To include hiring, training, and performance management, absence and metrics
 
 
 dissemination, product knowledge.
 
 
 
 Strong communication and interpersonal skills:
 
 To interact effectively with patients, families, and healthcare
 
 
 professionals.
 
 
 
 Excellent organizational and time management skills:
 
 To manage a high volume of referrals and ensure timely
 
 
 processing of information. Self-motivated, results-driven, and highly organized.
 
 
 
 Attention to detail:
 
 To ensure accuracy in patient records and insurance information.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience.
 </li>
 <li>
 Proven track record of success in outside sales, particularly in healthcare or medical device sales.
 </li>
 <li>
 Strong communication, negotiation, and interpersonal skills.
 </li>
 <li>
 Ability to build strong relationships with clients and healthcare professionals.
 </li>
 <li>
 Proficient in SalesForce, MS Office, Apple products.
 
 
 </li>
 </ul>
 
 Job Requirements &amp; Physical Demands
 
 
 
 <ul>
 <li>
 Must be able to lift 40 pounds, must be able to lift 40 pounds from the floor and lift to waist level.
 </li>
 <li>
 Must be able to kneel, stoop, climb stairs and reach with hands and arms.
 </li>
 <li>
 Ability to travel frequently within the assigned territory to patient&rsquo;s homes, and healthcare facilities with long
 
 
 </li>
 </ul>
 hours spent in vehicles.
 
 
 <ul>
 <li>
 A valid driver&rsquo;s license, automobile insurance, and clean driving record.
 </li>
 <li>
 Candidates must pass an extensive background check.
 </li>
 <li>
 Able to obtain the necessary immunizations and the records required to gain access to the facilities within
 
 
 </li>
 </ul>
 assigned territory.
 
 
 <ul>
 <li>
 Strict adherence to HIPAA, Medicare Fraud, Waste, and Abuse and privacy regulations in all patient interactions.
 
 
 </li>
 </ul>
 This job description outlines essential duties but is not exhaustive. Employees may be assigned other tasks. All
 
 
 duties are subject to modification for disability accommodation. Successful performance requires specific skills and
 
 
 abilities. This document sets minimum requirements and does not imply an employment contract. The company is
 
 
 an equal opportunity employer, drug-free workplace, and complies with ADA regulations as applicable.
 
 
 Powered by JazzHR
</div>

Territory Manager - Indianapolis

Consumer Cellular

<div><div>Retail Assistant Store Manager - Cumberland, IN (260196)</div><div>
At Consumer Cellular we are redefining Retail! 
At Consumer Cellular, we&rsquo;re on a mission to be the most beloved wireless company in the nation, and that starts with our people. If you&rsquo;re someone who believes work should feel meaningful, relationships should come before transactions, and service should feel human, you&rsquo;ll fit right in here. 
 
As part of our retail team, you won&rsquo;t just sell phones and plans, you&rsquo;ll build relationships. You&rsquo;ll guide guests through decisions with patience and expertise. You&rsquo;ll create moments that turn first-time visitors into lifelong customers. 
We&rsquo;re expanding rapidly across the country, bringing in-person support and personalized service to more communities than ever before. That growth means opportunity for leadership development, skill-building, and career progression.
What you will do 
The Retail Assistant Store Manager supports overall store effectiveness and delivers exceptional customer experience. This role partners closely with the Store Manager to help meet performance, sales, and customer satisfaction goals. Success in this position requires excellent customer service skills, the ability to actively sell and meet or exceed individual performance expectations, support training efforts, and contribute to the development of team members. The Assistant Store Manager helps reinforce company standards, supports daily operations, and works with the Store Manager on performance and coaching needs.
The wage for this position is between $21.50 - $22.50/hour plus uncapped commission.
This position is classified as modified full-time, which means the work schedule will range between 30 to 39 hours per week. On average, most employees in this role work approximately 35 hours per week, offering a consistent schedule while maintaining flexibility.<ul><li>
Engage customers on the sales floor, assist with device setup, plan selection, and complete sales transactions to achieve individual and store sales goals.</li><li>
Support daily store operations in partnership with the Store Manager, ensuring company standards and processes are followed.</li><li>
Reinforce training, onboarding, and policy expectations through hands-on guidance and modeling best practices.</li><li>
Follow established procedures to support store operations during scheduled shifts, including when the Store Manager is not present.</li><li>
Partner with the Store Manager on team-related matters and escalate employee relations or policy concerns as appropriate.</li><li>
Complete opening and closing responsibilities, including register reconciliation and securing the store per company guidelines.</li><li>
Maintain store presentation standards, ensuring the sales floor, backroom, and customer areas remain clean, organized, and welcoming.</li><li>
Implement marketing and merchandising updates, including promotional materials, signage, device displays, and pricing changes.</li></ul></div><div></div><div> 
What you will need<ul><li>
High School Diploma required.</li><li>
2+ years of retail experience required; wireless, specialty retail, or big box experience preferred.</li><li>
Strong communication skills, both verbal and written.</li><li>
Demonstrated ability to support training and guide team members.</li><li>
Solid business acumen and understanding of retail performance metrics.</li><li>
Self-motivated with the ability to work in a fast-paced environment.</li><li>
Flexible schedule, including weekends and occasional travel as needed.</li><li>
Proficient in Microsoft Office (Word, Excel, PowerPoint).</li><li>
Physical ability to perform tasks that may require prolonged bending, stooping, reaching, twisting, lifting, pushing, pulling, walking, standing and moving items.</li><li>
Requires the ability to move around the store, assist customers and maneuver merchandise when necessary.</li></ul>
About Consumer Cellular 
Founded in 1995, Consumer Cellular is the first wireless provider unapologetically built for Americans 50+. An approved wireless partner of AARP, Consumer Cellular is trusted by more than 4 million subscribers for affordable plans, popular phones and devices, and great nationwide coverage, all backed by top-rated, 100% U.S. based customer support. Based in Scottsdale, AZ, with 3,000 employees in company locations throughout the U.S., Consumer Cellular has earned recognition as the most awarded wireless brand for customer service. The company has been honored as #1 in customer service in its industry numerous times and, in 2024, ranked #1 in network coverage and customer satisfaction among wireless carriers by American Customer Satisfaction Index (ACSI). Additionally, the company has been featured 12 times on the Inc. 5000 list of the fastest-growing privately held U.S. companies. Consumer Cellular phones, devices and plans are available nationwide through more than 50 company-owned neighborhood stores, online at ConsumerCellular.com, by telephone at (888) 345-5509, and at leading retailers including Target and Walmart. Connect with Consumer Cellular on Facebook, Instagram, and Youtube. for tutorials, features, applications, and company news.
Pay &amp; Benefits Data (in accordance with the Equal Pay and Opportunities Act)
Minimum Salary: $44,100
Maximum Salary: $57,750
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Our Talent Acquisition team are able to answer any additional questions you may have as you move through the selection process. As part of our Total Rewards package, Consumer Cellular, Inc. offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, and emotional wellbeing.<ul><li>
Competitive base pay with potential for shift differential, overtime and bonus pay</li><li>
Bonus eligibility is subject to active employment and compliance with company policies at the time of payout. Additional details are outlined in the applicable written bonus plan.</li><li>
Medical insurance (98% company-paid for full-time employee only coverage)</li><li>
Dental and Vision insurance (100% company-paid for full-time employee only coverage)</li><li>
401(k) company match of 100% up to 6% of your pay</li><li>
Discounted Consumer Cellular wireless phone plan for employees</li><li>
Paid Time Off (PTO) available following a 30-day waiting period*</li><li>
6 company-paid holidays plus 16 hours of floating holiday accrual per year</li><li>
Flexible Spending Accounts (FSA) for health care and dependent care expenses</li><li>
Life and AD&amp;D insurance equal to 1x your annual earnings (100% company-paid)</li><li>
Long-Term Disability insurance (100% company-paid)</li><li>
Employee Assistance Program (100% company-paid)</li><li>
Education reimbursement</li><li>
Employee rewards program</li></ul><ul><li>Accrue up to 40 hours in 1st year for hourly positions and up to 120 hours for salaried positions.</li></ul> 

Pre-employment background check and drug screen is required.</div><div>
Primary Location: United States-Indiana-Indianapolis 10935 E Washington Street 10935 E Washington Street Suite D Indianapolis 46229</div><div>
Job: Retail Associates</div><div>
Schedule: Full-time</div><div>
Travel: No</div><div>
Job Posting: Mar 3, 2026</div><div>
Unposting Date: Mar 9, 2026</div></div>

Retail Assistant Store Manager - Cumberland, IN

Kimball Solutions Indianapolis

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation during the application or recruitment process due to a disability, you may contact us at KEIrecruiting@Kimballelectronics.com. We will treat all requests for accommodations discreetly. *Note: There is no Visa sponsorship being offered for this position. No relocation.Kimball Electronics does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Kimball Electronics is not responsible for any fees related to unsolicited resumes.AboutOur comprehensive skillset helps customers take ideas from design to development. We take pride as a contract medical device manufacturer solving problems and partnering with our customers. This onsite, 1st shift, hourly position will report to the Operations Manager. Your benefits start day 1 as we offer excellent health coverage, 401K with company match and other ancillary coverages to fit your needs.Position OverviewAs an Inventory Analyst, you&rsquo;ll be the Sherlock Holmes of transactions, the data whisperer of warehouses, and the guardian of efficient inventory management. The Inventory Analyst is responsible for inventory accuracy plant wide. The Inventory Analyst must understand all types of material movement transactions in order to troubleshoot any discrepancies. The discrepancies are then communicated to the involved parties in order to understand the impact to inventory and prevent additional issues. This activity includes cycle counting and error processing in IQMS without delays. If you like tracking items and getting to the bottom of things with thorough follow up and follow through this role is for you.Basic Background Requirements<ul><li>Mastery of IQMS Inventory transactions and inventory management</li><li>Attention to detail sharper than a ninja&rsquo;s sword</li><li>Ability to effectively communicate with all levels of the organization</li><li>Excellent computer skills a must (Excel, Word, Power Point)</li><li>Strong mathematical and data analytics skills</li><li>Ability to make data driven recommendations and decisions</li><li>Bachelor&rsquo;s degree in Supply Chain Management, Logistics, or a related field (or equivalent experience)</li></ul>Key Performance ObjectivesShort Term: (0 to 3 months)<ul><li>Learn about Kimball Vision and Guiding Principles to lead development of appropriate people growth &amp; development practices.</li><li>Learn the quality system and production requirements.</li><li>Develop solid relationships with internal and external customers</li><li>Daily analysis of inventory transactions</li><li>Start overseeing cycle counting process</li></ul>Midterm: (3 to 6 months)<ul><li>Proficient with KEIND requirements for quality and production.</li><li>Strategizing ways to improve our inventory management processes</li><li>Lead monthly inventory meetings armed with data, graphs, and a dash of charisma.</li><li>Align area metrics with overall department goals</li></ul>Long Term: 6-12 months +<ul><li>Implementation of inventory efficiency improvements</li><li>Train staff on the utilization of ERP production reporting and inventory management within work centers</li><li>Maintain a cycle count accuracy of 99%</li></ul>Don&rsquo;t meet every single requirement? Studies have shown underrepresented groups are less likely to apply to jobs unless they meet every single qualification. At Kimball Electronics we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!We&rsquo;re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability or any other characteristic protected by applicable federal, state, or local law.We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).Job Type: Full-timePay: $22.00 - $33.00 per hourExpected hours: 40 per weekBenefits:<ul><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Vision insurance</li></ul>Work Location: In person

Inventory Analyst

Explore 131+ Data scientist drug delivery device development in Full Time Jobs In Full Time Jobs In Full Time Jobs In Jobs In Jobs In Indianapolis this March. Find roles across top companies and apply now to boost your career.