administrative assistant - onsite downtown indy

advisor - ai application development engineer – full-stack ai applications

advisor - scientific machine learning scientist - drug delivery device development

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advisor - scientific machine learning scientist - drug delivery device development Jobs in Pharmaceutical Sales Jobs In Full Time Jobs In Full Time Jobs In Indianapolis

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senior computer vision machine learning engineer ii indianapolis

Dandy

<div>Dandy is transforming the massive and antiquated dental industry&mdash;an industry worth over $200B. Backed by some of the world&rsquo;s leading venture capital firms, we&rsquo;re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world&mdash;empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.
About the Role
In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we go through our next level of scale, Dandy is building a world class Machine Learning &amp; Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today.
The global, remote team tackles problems involving 3D geometric computer vision, generative deep learning, and SOTA machine learning methods. As a part of this newly created team, you will play a key role in laying the foundation that will drive the team&rsquo;s success. You will establish best practices, solve ambiguous data problems that have never been solved before with industry wide impact, and be given the freedom to innovate.
What You'll Do<ul><li>
Build Computer Vision models to extract structure from unstructured, information-dense 3D scans</li><li>
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks.</li><li>
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines</li><li>
Work with massive datasets to develop both generic models as well as fine tune models for specific applications</li><li>
Develop evaluation methods which allow us to establish confidence in our datasets and models
</li><li>Implement best practices for our MLOps pipelines</li><li>
Work closely with product owners on a feature focused team to deliver value quickly to Dandy&rsquo;s customers</li></ul>
What We're Looking For<ul><li>
8+ years experience post Master's degree, or 5+ years of experience post PhD</li><li>
Extensive experience in Python</li><li>
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning</li><li>
Experience with 3D geometric Computer Vision</li><li>
Experience with PyTorch</li><li>
Have immaculate attention to detail and take pride in delivering excellent code and results
</li><li>Masters or PhD in related field
</li><li>Candidates must be able to work onsite in Indianapolis, IN 3 days per week</li></ul>
Req ID: J-684
For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off&mdash;ensuring our team members are supported no matter where they live and work.
Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!
Data Privacy Notice: By submitting your application, you consent to Dandy collecting, storing, and processing your personal information for recruitment purposes in accordance with our Privacy Policy and GDPR regulations. You have the right to access, rectify, or request the deletion of your data at any time by contacting Privacy Requests.
Compensation Range: $216,750 - $255,000</div>

Senior Computer Vision /Machine Learning Engineer II (Indianapolis)

Eli Lilly

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

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

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Organization and Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
 
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes. 
The Data Science horizontal within DDCS generates actionable scientific and business insights that accelerate innovation and de-risk commercialization across the DDCS matrix. Data scientists operate at the intersection of device engineering, drug delivery science, clinical evidence, and AI&mdash;partnering with AI application engineers, scientific ML specialists, and data engineers to build end-to-end analytical capabilities that directly shape product design decisions, device performance optimization, and patient outcome strategies.
We are seeking an exceptional Data Scientist to join DDCS's data science team. This role leverages internal and external data to generate actionable scientific and business insights that drive innovation in drug delivery technologies. The ideal candidate combines deep analytical expertise with strong business acumen to identify high-value use cases, develop data-driven solutions, and communicate compelling data stories to senior leadership. You will play a pivotal role in influencing product design decisions, optimizing device performance, and advancing DDCS's mission to improve patient outcomes through innovative drug delivery systems&mdash;operating as a key horizontal contributor within the DDCS matrix.
Responsibilities:
Use Case Identification &amp; Solution Development<ul><li>
Partner with engineers, scientists, and business stakeholders across innovation and commercialization verticals to understand needs and opportunities across the product lifecycle.</li><li>
Identify and prioritize high-impact use cases for data-driven solutions in formulation optimization, device design, quality assurance, and patient adherence.</li><li>
Design and implement analytical frameworks and predictive models to address specific business questions and technical challenges.</li><li>
Develop statistical models, machine learning algorithms, and simulation tools to support decision-making in research, development, and commercialization.</li></ul> 
Scientific &amp; Business Insights Generation<ul><li>
Analyze complex datasets from laboratory experiments, clinical studies, manufacturing processes, device sensors, and real-world evidence to extract meaningful scientific and business insights.</li><li>
Investigate device performance characteristics, patient usage patterns, drug stability, and delivery accuracy to identify opportunities for product improvement and innovation.</li><li>
Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform research priorities and strategic decisions.</li><li>
Synthesize findings from multiple data sources to provide holistic perspectives on device efficacy, safety, and market performance.</li></ul> 
Predictive Modeling &amp; Advanced Analytics<ul><li>
Build, validate, and deploy predictive models for device performance forecasting, failure mode prediction, patient outcome estimation, and quality control optimization.</li><li>
Apply statistical methods including regression analysis, hypothesis testing, survival analysis, and Bayesian inference to experimental and observational data.</li><li>
Collaborate with AI application engineers and scientific ML specialists to develop advanced models including deep learning, NLP, and computer vision applications.</li><li>
Implement model monitoring and performance tracking to ensure continued accuracy and reliability in production.</li></ul> 
Data Storytelling &amp; Leadership Communication<ul><li>
Translate complex analytical findings into clear, compelling narratives that resonate with both technical and non-technical audiences.</li><li>
Create executive-ready visualizations, dashboards, and presentations that communicate insights and recommendations to senior leadership.</li><li>
Present data-driven recommendations to influence product design, development strategies, and investment decisions across the DDCS matrix.</li><li>
Develop business cases with quantitative evidence to support new initiatives, process improvements, and strategic pivots.</li></ul> 
Cross-Functional Collaboration<ul><li>
Work closely with data engineers to define data requirements, ensure data quality, and access appropriate data infrastructure.</li><li>
Collaborate with AI application engineers to transition models from research to production environments.</li><li>
Partner with clinical, regulatory, and quality teams to ensure analytical approaches align with compliance requirements and industry standards.</li><li>
Support research scientists and engineers by providing statistical consultation and analytical expertise.</li></ul> 
Data Strategy, Innovation &amp; Mentorship<ul><li>
Stay current with emerging analytical techniques, machine learning methods, and industry trends in medical device development and digital health.</li><li>
Identify opportunities to apply novel analytical approaches to solve longstanding challenges in drug delivery device development.</li><li>
Contribute to best practices, methodologies, and capabilities within the DDCS data science horizontal.</li><li>
Mentor junior team members and promote a culture of data-driven decision-making across the DDCS matrix.</li></ul>
Basic Requirements:<ul><li>
PhD in Statistics, Biostatistics, Data Science, Computer Science, Computational Biology, Engineering, Physics, Applied Mathematics, or a related quantitative field</li><li>
Experience conducting independent research and developing novel analytical approaches, with demonstrated research excellence through publications, dissertations, or equivalent scholarly work,.</li><li>
Proficiency in Python, R, and/or ML frameworks (i.e. PyTorch, TensorFlow, scikit-learn) and visualization tools (i.e. Tableau, Power BI).</li><li>
Cross-functional collaboration and influence within a matrixed model</li><li>
Regulatory awareness and compliance mindset in GxP/GMP environments</li></ul>
Additional Preferences:
<ul><li>Post-PhD experience in pharmaceutical, biotechnology, medical device, or healthcare industries.</li><li>
Strong foundation in statistical analysis, machine learning, deep learning, and data manipulation through doctoral research or professional experience.</li><li>
Proven ability to work with complex, multi-dimensional datasets and translate analytical findings into actionable recommendations.</li><li>
Understanding of drug delivery mechanisms, pharmacokinetics, and device engineering principles.</li><li>
Experience with clinical trial design, analysis, and interpretation (adaptive designs, survival analysis, patient-reported outcomes).</li><li>
Analytical depth: statistical modeling, machine learning, and advanced data analysis</li><li>
Scientific curiosity and ability to formulate rigorous analytical questions from complex device/drug delivery problems</li><li>
Exceptional data storytelling: translating complex findings into executive-ready insights</li><li>
Strategic business acumen: connecting analytical work to portfolio and program decisions</li><li>
Mentorship and knowledge-sharing orientation</li></ul>
Other Information:<ul><li>
Travel up to 10%</li><li>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Data Scientist – Drug Delivery Device Development

<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

Rheumatology Associates, P.C.

Come join our team! Rheumatology Associates P. C. is a healthcare organization specializing in the treatment of over 100 arthritic and autoimmune related diseases. We are located on the north side of Indianapolis, conveniently located near I 465 and North Meridian Street. We are currently looking for an experienced Certified Medical Assistant with a comprehensive understanding of the assessment and support activities related to general nursing and a demonstrated commitment to safety and compassionate patient care.This position is responsible for the performances of basic nursing type duties including, but not limited to, execution of physician orders, triage assessment, and assisting the physician with examinations/treatments. Also performs technical/clinical procedures within the scope of their certification.Successful candidates must have at least 2 years of experience in a related clinical environment or physician office; possess a current Medical Assisting Certification and a certification in basic life support. Candidates must also demonstrate good communication skills and computer literacy. Experience in Rheumatology related practice with related EMR competency is preferred.This full-time position includes a competitive wage and benefit package that includes medical, dental, vision, 401(k) profit sharing, paid vacation, paid holidays and a 4/10 work week (Monday-Thursday with 3-Day Weekends Off!)Qualified candidates who live in the Indianapolis commuting area are invited to apply by submitting a resume.Rheumatology Associates P. C. is an equal opportunity employer.Job Type: Full-timePay: $52,000.00 - $58,000.00 per yearBenefits:<ul><li>401(k)</li><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>Vision insurance</li></ul>Medical Specialty:<ul><li>Rheumatology</li></ul>Schedule:<ul><li>10 hour shift</li></ul>Experience:<ul><li>Vital signs: 1 year (Preferred)</li></ul>License/Certification:<ul><li>BLS Certification (Preferred)</li><li>CCMA Certification (Required)</li></ul>Ability to Relocate:<ul><li>Indianapolis, IN 46260: Relocate before starting work (Required)</li></ul>Work Location: In person

Certified Medical Assistant (CMA)

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1><h1 class="jobSectionHeader">
Job Description</h1>
GE Aerospace Indianapolis 
The Indianapolis site manufactures complex Aerospace components for a variety of applications. Join us on our growth and transformation journey in Indianapolis.
A few reasons to consider GE<ul><li>
10% pay differential for 2nd/3rd shift.</li><li>
Healthcare Benefits eligible on day one of employment</li><li>
12 annual paid holidays; vacation eligible at day 30 of employment</li><li>
Climate-controlled building out of the elements</li><li>
Tuition reimbursement benefit</li><li>
401K with company match</li></ul>
Essential Responsibilities<ul><li>
Use hand tools and measuring equipment to insure specifications are met</li><li>
Work from complex product drawings, manuals, and specifications</li><li>
Adherence to Operator Acceptance Procedures (OAP)</li><li>
Review product documents and insure accuracy and work competion.</li><li>
Inspect finished product and identify defects.</li><li>
Set-up, operate, adjust, and troubleshoot all tools and equipment used in the inspection or assembly process.</li><li>
Maintains accurate work records.</li><li>
Willingness to support team concept and learn/perform other duties as required.</li><li>
Maintains standards for 6S and tool control.</li><li>
Recognizes process variation, adjusts accordingly while maintaining compliant work practices, and consistently produces conforming hardware.</li><li>
Maintains productivity standards.</li><li>
Willingness to work outside normal work hours to support assembly requirements.</li><li>
Utilize precision measuring instruments to inspect parts.</li><li>
Support our team concept and learn/perform other duties as required.</li><li>
Communicate effectively and professionally with others.</li><li>
Follow and promote safe work practices.</li><li>
Support LEAN initiatives.</li><li>
Lift light to medium weight material in an environment that may occasionally require crouching, stooping and/or flexible work positions.</li></ul> 
Qualifications/Requirements<ul><li>
High School Diploma or GED</li><li>
Previous experience utilizing hand measurement gages such as mics, verniers, bore gages, calipers, height gages, and indicators.</li><li>
One year of experience in a manufacturing environment</li><li>
Familiarity with simple machine and tool operations</li><li>
Understand how to identify and effectively use a variety of power and hand tools.</li><li>
Read, understand and utilize procedures, detailed computerized build plans, and basic mathematical calculations.</li><li>
Ability to perform precise and detailed work.</li><li>
Communicate effectively and professionally with others within the team.</li><li>
Follow and promote safe work practices.</li><li>
Demonstrated ability to participate in a team environment.</li></ul> 
Desirable characteristics<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to read, understand, and utilize procedures, sketches, and blueprints as well as perform basic mathematical calculations.</li><li>
Working knowledge of precision measuring equipment.</li><li>
Previous assembly and machine operator experience</li><li>
Willingness to learn other production jobs</li></ul>
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div></div></div></div></div></div><div><div><div><div><div><div><div>
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</div></div></div></div></div></div></div><div><div><div><div><div><div><div>Relocation Assistance Provided: Yes</div></div></div></div></div></div></div></div>

Line Inspector (1st & 2nd shift)

Indianapolis Public Schools

<div>WELCOME TO INDIANAPOLIS PUBLIC SCHOOLS!
At IPS, we believe in the transformative power of education. We work collectively every day to prepare our students for success in the classroom and in life by providing equitable, high-quality educational experiences across our family of schools. IPS is a place to make an impact, grow your career, and ensure every student has access to a high quality education, all while earning a good living in a district on the move. While the work is challenging, it is deeply meaningful and impactful. We seek innovators and trailblazers who bring varying experiences and expertise and share our belief that every child deserves access to an exceptional education. As part of TeamIPS, you&rsquo;ll create lasting connections, find a sense of belonging, and feel supported to make a meaningful difference in students&rsquo; lives. 
In return, no matter your role here, we expect a commitment to excellence and accountability. You&rsquo;ll be held to high standards. Resilience and passion are key&mdash;you must be adaptable, handling adversity with flexibility while putting students at the heart of everything you do. Ethical conduct, clear communication, and mutual respect are fundamental. Being a dependable, collaborative team player who builds meaningful relationships is essential. 
Together, we are Proving What&rsquo;s Possible by building a community where everyone belongs and each student has the opportunity to fulfill their potential. 
A Career in IPS Offers&hellip;
Purpose and Impact:<ul><li>
Essential Contributions: In every non-teaching and non-leadership role, your work directly supports the success of IPS students and schools. Whether you&rsquo;re maintaining facilities, providing student services, or managing administrative operations, you play a key part in ensuring an equitable and high-quality educational environment.</li><li>
Belonging and Community: IPS is a place where every employee is valued. You&rsquo;ll join a supportive community that promotes respect, teamwork, and a shared commitment to serving students and families.</li></ul>
Professional and Personal Growth:<ul><li>
Training and Development Opportunities: IPS offers a variety of training programs to help staff build new skills and grow professionally. This includes access to development opportunities for administrative, technical, and operational roles, as well as pathways to becoming a certified teacher.</li><li>
Skill Enhancement: Whether you&rsquo;re new to your role or seeking to deepen your expertise, IPS provides resources and support for continuous improvement.</li></ul>
Comprehensive Compensation and Benefits:<ul><li>
Fair Compensation: IPS ensures competitive wages and regularly reviews pay structures to maintain equity.</li><li>
Extensive Benefits Package: Employees enjoy comprehensive health coverage, dental and vision plans, life insurance, disability insurance, and retirement plans. Additional financial benefits include flexible spending accounts and eligibility for federal loan forgiveness programs.</li></ul>
Work-Life Balance and Well-being:<ul><li>
Generous Leave Policies: IPS offers vacation, personal, and sick leave, along with paid holidays. Twelve-month employees benefit from floating holidays, and unused personal leave rolls into the sick leave balance.</li><li>
Wellness Programs: IPS prioritizes staff well-being with access to wellness initiatives, including health screenings and an employee assistance program for confidential support and counseling.</li></ul> 
What We Expect:<ul><li>
Professionalism and Reliability: Every role at IPS is vital to the district&rsquo;s success. We expect staff to demonstrate professionalism, dependability, and a commitment to providing excellent service to students, educators, and families.</li><li>
Collaboration and Communication: IPS values teamwork. Working collaboratively with your colleagues ensures a supportive environment for all. Clear communication and mutual respect are key to maintaining this culture.</li><li>
Flexibility and Problem-Solving: As a large, dynamic district, IPS needs staff who are adaptable and proactive in solving problems to meet the ever-changing needs of students and schools.</li></ul><h4 class="jobSectionHeader"> 
JOIN US!</h4>
Indianapolis Public Schools is more than a workplace; it&rsquo;s a community where purpose, impact, and belonging come together to help Prove What&rsquo;s Possible &ndash; in your career and in your school. If you&rsquo;re ready to embrace challenges, strive for excellence, and make a meaningful impact, IPS is the place for you. 
SUMMARY OF OPPORTUNITY:
Works with students to facilitate learning and improve skills in the classroom to assist teaching staff. Tutors small group or individual students as needed. Maintains record of students serviced as well as the students' academic progress. 
QUALIFICATIONS:
Associate's degree or 60 semester hours of college credit or successful completion of ParaPro Assessment test required. Prior work experience of three to six months with young people in a school or child care setting and previous IPS experience is helpful. Incumbent will have organizational skills to be able to compile and maintain documentation, have basic computer skills, and basic office skills of typing and answering phone calls. Must be able to work under the instruction of a certified teacher but without constant direct supervision. 
ESSENTIAL DUTIES AND RESPONSIBILITIES:<ul><li>
Provides instructional intervention under direction of licensed teacher. Reinforces instruction of the classroom teacher. Uses existing exercises, games, quizzes or other devices on own. May utilize a computer for instruction.</li><li>
Based on teacher's lesson plans, prepares activities for all assigned students and assists in preparing progress reports for parents.</li><li>
Maintains records of student served and their progress. Helps students prepare for ISTEP testing.</li><li>
Helps teacher maintain cleanliness and order in the classroom. May assist in supervision of students during lunch or recess periods.</li><li>
Promotes positive attitudes among students and encourages them to develop their academic skills as well as self-discipline. Assists classroom teachers with the implementation of instruction plan. Helps create and maintain an appropriate and positive learning environment.</li><li>
Assists in the collection and compilation of student, parent, teacher and community data.</li><li>
Must be present at work.</li><li>
Perform other duties as assigned.</li></ul> 
SUPERVISORY RESPONSIBILITIES:
None. 
LANGUAGE SKILLS:
Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to effectively present information in one-on-one, small group, and large group situations. 
MATHEMATICAL SKILLS:
Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs. 
REASONING ABILITY:
Ability to apply common sense understanding to carry out detailed but written or oral instructions. Ability to deal with problems involving a few concrete variables in standardized situations. 
CERTIFICATES, LICENSES:
None. 
FLSA CLASSIFICATION:
Non-Exempt 
ELIGIBILITY FOR REMOTE WORK:
Not eligible 
PHYSICAL REQUIREMENTS:
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; talk or hear. The employee frequently is required to stand and walk. The employee is occasionally required to sit; reach with hands and arms; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. 
EEOC STATEMENT:
Indianapolis Public Schools, in accordance with its nondiscrimination policies, will not discriminate in its programs, facilities, or employment or educational opportunities on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, homelessness or any other legally recognized protected basis under federal, state or local laws, regulations, or ordinances. Indianapolis Public Schools does not tolerate any form of retaliation or bias-based intimidation, threat, or harassment that demeans individuals&rsquo; dignity or interferes with their ability to learn or work. 
DISCLAIMER:
Essential functions, as defined under the Americans with Disabilities Act, may include any of the above representative duties, knowledge, and skills. This job description is illustrative only, and is not a comprehensive list of all essential functions and duties performed by the occupant of this position. Factors such as regular and punctual attendance are not routinely listed in job descriptions, but are an essential function.</div>

Classroom Assistant 26/27 SY

Explore 156+ Senior computer vision machine learning engineer ii indianapolis in Pharmaceutical Sales Jobs In Full Time Jobs In Full Time Jobs In Indianapolis this March. Find roles across top companies and apply now to boost your career.