advisor - scientific machine learning scientist - drug delivery device development

biochemist (formulation team) - entry level

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

biochemist (formulation team) Jobs in Indianapolis

biochemist (formulation team)

biochemist (formulation team) - entry level Jobs in Indianapolis

medical laboratory technician Jobs in Indianapolis

medical laboratory technician

biochemist formulation team

Eurofins

<div>Company Description 
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.
The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.
In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.
In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years. 
Job Description 
<ul><li>
Perform testing for in-process samples including: Density, Viscosity, Appearance, UV Spectrophotometry, pH, Osmolality, particulate matter (HIAC and MFI), protein content, and HPLC analysis including, but not limited to, SEC, and Polysorbate 80</li><li>
Set-up and operation of most equipment in the formulations and process lab including plunger insertion unit, filler, vial capper, etc.</li><li>
Prepare common buffer, calibration, standard solutions as needed; will perform all aspects of laboratory operations, such as sample receipt, data generation, data verification and interpretation, instrument qualification, operation, troubleshooting, and all supporting documentation for such activities</li><li>
Complete sample LIMS tasks and interface with other informatics systems within the laboratory as needed to perform testing; plan experiments, author documents relative to those experiments, provide data integrity review for work completed by others</li><li>
Responsible for all aspects of assigned studies including securing formulations excipients, components (vials/stoppers and prefilled syringes/plungers), equipment set‑up, manufacture drug product, dialysis, placebos including sampling and equipment clean-up, sample submission, and summarizing the data for the study; maintain laboratory instrument calibration, cleaning, restocking supplies</li></ul> 

Qualifications 
The ideal candidate would possess :<ul><li>
Excellent communication (oral and written) and attention to detail</li><li>
Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude</li><li>
Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies</li><li>
Knowledge of aseptic techniques and parenteral formulation</li></ul> 
Basic Minimum Qualifications :<ul><li>
Bachelor&rsquo;s degree in life science concentration (chemistry, biology, or related fields) and more than over 4 years of directly related industry experience or a MS/PhD degree in a life science concentration (chemistry, biology, or related fields) and 2 years of directly related industry experience.</li><li>
Authorization to work in the United States indefinitely without restriction or sponsorship</li></ul> 

Additional Information 
<ul><li>
The position is full-time, Monday through Friday, 8 a.m. to 5 p.m.,</li><li>
May be requested to work on weekends, overtime, and holidays based on business needs.</li><li>
Candidates currently living within a commutable distance of Indianapolis, IN are encouraged to apply.</li><li>
Ability to work overtime as required.</li><li>
Excellent full-time benefits, including comprehensive medical coverage, dental, and vision options</li><li>
Life and disability insurance</li><li>
401(k) with company match</li><li>
Paid vacation and holidays</li><li>
#LI-EB1</li></ul><div></div>
Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.</div>

Biochemist (Formulation Team)

<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

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 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 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

CSpring

Description: At CSpring, we believe in unlocking potential&mdash;whether it&rsquo;s for our clients, colleagues, or the communities we serve. We&rsquo;re not just a consulting firm; we&rsquo;re a team that values connection, growth, and purpose. If you&rsquo;re looking for a role that combines your expertise with the opportunity to make a real impact, we&rsquo;d love to have you join us! We are currently seeking a Pharmacy Technician to support our Medicaid Pharmacy Customer Service Team. In this fully remote role, you&rsquo;ll deliver advanced inbound customer service to Indiana Medicaid members and providers, addressing inquiries about pharmacy coverage, claims, and medication pricing. You'll be the expert they trust to navigate their pharmacy needs. What You&rsquo;ll Do Review and process prescription prior authorization and appeal requests. Organize and manage documents, verify profiles, and ensure accuracy for patient/member records. Use decision trees and protocols to evaluate requests and provide approvals or rationales for denials. Communicate decisions and updates to patients and providers, ensuring they feel supported. Forward complex cases for additional review and follow up as needed. Provide compassionate, timely support while staying organized and detail focused. Requirements: What We&rsquo;re Looking For A valid Indiana Pharmacy Technician license. A valid national CPhT certification (or ability to obtain within six months of hire). High school diploma 1&ndash;2 years of pharmacy experience (retail, LTC, hospital, etc.). Proficiency in software systems, data entry, and the Microsoft Office suite. Strong organizational and time management skills. Excellent customer service and communication abilities. A team player with a positive attitude who embodies our core values: Committed, Collaborative, Consultative, Caring. Ability to work overtime as needed, pass background checks and pre-employment drug screen, and complete E-Verify requirements. Must have access to a quiet, distraction-free workspace. Preferred Qualifications Experience with Medicaid and/or government healthcare programs. Previous experience in a remote work environment. Call center or inbound/outbound call experience in a pharmacy setting. Why Join CSpring? At CSpring, we&rsquo;re more than just a workplace&mdash;we&rsquo;re a community. As part of our team, you&rsquo;ll experience: A strong culture of connection and collaboration. Enjoy team-building events with colleagues who support and inspire you. Recognition and growth opportunities. Your hard work won&rsquo;t go unnoticed; we value and reward our team members. Outstanding benefits from day one. Comprehensive medical, dental, vision, life, and disability insurance, along with Paid Time Off and a 401(k) with company match. As a Best Place to Work award winner year after year, we pride ourselves on creating an environment where every team member feels respected, valued, and inspired to succeed. Ready to grow your career, help others, and be part of an incredible team? We can&rsquo;t wait to hear from you! Apply today to become a part of the CSpring team and make a meaningful difference every day.

Remote Pharmacy Technician (Indiana Residents Only)

Community Health Network

<div><div><div><div>Category</div>
<div>Administrative &amp; General Support</div>
</div><div><div>Department</div>
<div>Admin General Services</div>
</div><div><div>Schedule</div>
<div>Full-time</div>
</div><div><div>Facility</div>
<div>Shadeland Station</div>
<div><div><div>Shadeland Ave</div> 
<div>Indianapolis</div>, <div>IN</div> <div>46256</div> 
<div>United States</div></div></div>
</div><div><div>Shift</div>
<div>Day Job</div>
</div><div><div>Hours</div>
<div>8:00am - 5:00pm Mon-Fri 
Based on Business Needs</div> 
</div></div><div><div>Join Community 
Community Health Network was created by our neighbors, for our neighbors. Over 60 years later, &ldquo;community&rdquo; is still the heart of our organization. It means providing our neighbors with the best care possible, backed by state-of-the-art technology. It means getting involved in the communities we serve through volunteer opportunities and benefits initiatives. It means ensuring our dedicated caregivers can learn and grow to stay at the top of their fields and to better serve our patients. And above all, it means exceptional care, simply delivered &mdash; and we couldn&rsquo;t do it without you.
Make a Difference 
Under the supervision of the Team Leader of General Support Services and as an active member of the Facilities Project Team, plans, develops, specifies, and directs the design and construction of approved capital projects. Develops and implements plans necessary to fulfill the facilities management objective of providing a warm, attractive, friendly, reliable, safe environment for patients, visitors, physicians, and employees that can be effectively maintained and cleaned.
Exceptional Skills and Qualifications 
Applicants for this position should be able to collaborate with others in a team setting, have excellent communication skills, and a positive attitude toward problem-solving.<ul><li>
High School diploma or GED (Required)</li><li>
4 year / Bachelor's degree in construction management, engineering or architecture. Will accept another bachelor's with 8+ years of hospital/healthcare project management experience (Required)</li><li>
In lieu of the above education requirements, a combination and education will be considered.</li><li>
Certifications/Licenses: Certified Healthcare Facility Mgr (CHFM or other nationally recognized certification pertaining to Facilities, Certified Healthcare Constructor (CHC) by AHA and/or Professional Engineers (PE) by NSPE.</li><li>
3 + years relevant experience in building design, inspection and construction with experience as an owners' project management representative (Required)</li></ul><ul><li>
Recommends and manages capital project budgets and schedules.</li><li>
Determines and develops total capital project cost estimates for budget purposes as assistance to other team members or for self-managed projects.</li><li>
Ensures accuracy of and approve all invoices related to the assigned capital project and monitors actual costs against budget. Manages total project costs not-to-exceed 3% of the approved budget, unless previously approved.</li><li>
Requests and recommends approval from the Team Leader of General Support Services whenever costs or schedules deviate from the budget plan.</li><li>
Based upon available internal and external resources, develops project schedules. Maintains the project schedule by determining and accomplishing each of the activities required. Identifies potential delays and &ldquo;pushes&quot; for decisions from the project program administrator/owner or the Team Leader of General Support Services.</li><li>
The Project Manager, for approved projects, assesses the facilities design needs of the departmental program and direct facilities design and construction which are consistent with the departmental objectives. The Life Safety Master Plan, AIA Guidelines for Construction and Equipment of Hospital and Medical Facilities, JCAHO, applicable Indiana Building Codes, Indiana Department of Health Rules and Regulations, Interiors Master Plan and Facilities Maintenance objectives are additional responsibilities they must endure.</li><li>
Utilize effective communication skills to assess, interrogate, question ideas, analyze, learn, and retain operational program information while being sensitive to specific departmental operational problems or issues.</li><li>
Confirm the program objectives with the Department Team Leaders, in writing, based on the information obtained in the assessment of needs process.</li><li>
Teach program Executive Directors or Departmental Team Leaders the project development and implementation process of: Identifying the program objectives; Determining work volumes, customer and staff needs; Translate #1 and #2 into facility alternatives (schematic design); preparations of Design Development; preparations of Construction Documents; Construction, Occupying the facility.</li><li>
Establishes Design Concept.</li><li>
Utilizes architectural design skills to prepare scaled space plans with layouts of equipment and furnishing to ensure adequate special relationship and people movement to meet program objectives. Personally performs or assists consultants with space utilization studies.</li><li>
Documents, existing conditions, and inventories of existing furnishings, plumbing, electrical, HVAC, and other design limitations.</li><li>
Present written proposals and illustrations to Department Team Leaders and staff to obtain consensus and ownership in the design concept.</li><li>
Manages the project construction process:</li><li>
Visits construction sites, observe work-in-place for correctness and progress. (QC).</li><li>
Answers any contractor's questions by interpreting contract documents.</li><li>
Coordinates access and service interruptions.</li><li>
Represents the Hospital's interest in construction progress meetings.</li><li>
For projects requiring consultants, manages the design and construction consultants.</li><li>
Acts as a liaison between the department and consultants.</li><li>
Reviews, critiques, and approves the consultant&rsquo;s work (drawings, specifications, schedules, etc.).</li><li>
Approves progress payments.</li><li>
Demonstrates team attitude.</li><li>
Actively seeks input from Facilities Project Team members and provides constructive suggestions or recommendations for improvement.</li><li>
Assists other Facilities Project Team members as needed.</li><li>
Individuals may not perform all of these duties, or may perform additional, related duties not listed here.</li></ul></div>
Why Community?
At Community Health Network, we build teams that deliver exceptional care through empathy, communication and collaboration. We consider ALL an integral part of the exceptional patient experience. We PRIIDE ourselves on not having employees but Caregivers. Join our Community as we make a difference in your community.</div></div>

Manager Facilities Project

Explore 282+ Biochemist formulation team in Indianapolis this March. Find roles across top companies and apply now to boost your career.