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advisor - scientific machine learning scientist - drug delivery device development Jobs in Indianapolis

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

Director - Multi-Physics, Scale and Fidelity Predictive Modeling

<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

Information Technology Senior Management Forum

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

Director - Cloud Platforms & Agent Infrastructure

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

Explore 250+ Data scientist drug delivery device development in Indianapolis this March. Find roles across top companies and apply now to boost your career.