advisor - scientific machine learning scientist - drug delivery device development

biochemist (formulation team) - entry level

pharmacy technician

act team master level clincian Jobs in Indianapolis

act team master level clincian

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

biochemist formulation team entry level

Eurofins

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

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

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

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

Biochemist (Formulation Team) - Entry Level

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

FPC (FORTUNE PERSONNEL CONSULTANTS - Orlando Office)

<div>
 
 
 BUSINESS ANALYST - ENTRY LEVEL
 
 
 
 
 0-5 yrs experience to work in Supply Chain Discipline
 
 
 
 
 Central Indiana (Indianapolis Area) | Full Time On-site Role | No Relocation
 
 
 
 
 
 
 Global 1$B Electrical and Electronics company is looking to hire a
 
 Entry Level Business Analyst
 
 to join its Supply Chain team in Central Indiana.
 
 
 
 
 
 This position is designed for a recent college graduate and/or early-career professional who currently resides in the Indianapolis area.
 
 Candidates must already live locally. Relocation is not available.
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work on various supplier related items, such as delivery, quality and other metrics.
 </li>
 <li>
 Track other metrics such as supplier performance using scorecards
 </li>
 <li>
 Support and analyze cost savings and value analysis initiatives
 </li>
 <li>
 Benchmark pricing &amp; price increases. Gather data which impacts cost &amp; price.
 </li>
 <li>
 Coordinate with inventory, manufacturing, quality, and engineering teams
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Business or Supply Chain required
 
 </li>
 <li>
 
 Experience:
 
 0&ndash;1 years experience (including internships) or up to 5 years experience in supply chain or purchasing (salary commensurate with skills and experience)
 </li>
 <li>
 Strong communication skills; comfortable speaking directly with vendor representatives, or supply chain people, internal engineering, internal quality, internal inventory.
 </li>
 <li>
 Exposure to RFQs, pricing discussions, or supplier negotiations is a plus but not required.
 </li>
 <li>
 Must currently reside within commuting distance of Central Indiana
 </li>
 </ul>
 
 
 
 
 
 FPC &ndash; Fortune Personnel Consultants (Orlando Office)
 
 
 
 www.fpcor.com
 
 
 Position:
 
 Central Indiana (Greater Indianapolis area)
 
 
 
 
 
 <ul>
 <li>
 Must currently reside within commuting distance of Indianapolis, Indiana.
 
 
 Applications from candidates outside the Indianapolis area will not be considered.
 
 
 </li>
 </ul>
 
 
 
 
 Note: Candidates never pay us a fee, our fees are paid by client companies
 
 
 
 
 
 For More info: Maria Aviles &ndash; 407-307-1500 ext. 133 for follow-up - please apply before following us
 
 
 
 
 
 
 Buyer, Entry Level Buyer, Junior Buyer, Purchasing, Procurement, Supply Chain, Electronics Manufacturing, Manufacturing, MRO, RFQ, Supplier Negotiation, Indianapolis, Central Indiana, Bachelor&rsquo;s Degree, Ball State, Purdue, Butler, Indiana University, IUPUI
 
 
</div>

ENTRY LEVEL - BUSINESS ANALYST (0-5 years Exp)

Future Build

Job Overview Join our dynamic team as an Entry-Level Commercial Roofer and kickstart your career in the thriving construction industry! This energetic role offers hands-on experience in roofing projects, providing essential services that protect and enhance commercial buildings. No prior roofing experience is necessary&mdash;just a strong work ethic, eagerness to learn, and a passion for construction. As an entry-level team member, you'll work alongside seasoned professionals, gaining valuable skills in roofing installation, maintenance, and repair. This paid position is perfect for motivated individuals ready to build a solid foundation for their future in construction.Duties<ul><li>Assist with the installation, repair, and maintenance of commercial roofing systems using hand tools and power tools</li><li>Support the preparation of roofing surfaces by cleaning, measuring, and aligning materials according to project specifications</li><li>Learn to read blueprints, schematics, and roof plans to ensure accurate project execution</li><li>Handle heavy lifting of roofing materials and equipment safely and efficiently on job sites</li><li>Participate in site setup and cleanup to maintain a safe and organized work environment</li><li>Support other construction activities such as framing, caulking, trim carpentry, or masonry as needed</li><li>Follow safety protocols diligently while working at heights or on challenging surfaces</li></ul>Qualifications<ul><li>Basic familiarity with hand tools and power tools used in construction or roofing preferred but not required</li><li>Strong interest in construction trades such as roofing, carpentry, masonry, or restoration</li><li>Ability to perform physically demanding tasks including heavy lifting and standing for extended periods</li><li>Willingness to learn blueprint reading, schematics interpretation, and construction estimating processes</li><li>Good communication skills and a team-oriented attitude</li><li>Prior experience in construction site work or handyman roles is a plus but not mandatory</li><li>Commitment to safety standards and continuous learning on the job</li></ul>Embark on an exciting career journey with us! We value energetic individuals eager to develop their skills in a supportive environment. This paid entry-level position offers comprehensive training opportunities that will prepare you for a successful future in commercial roofing and broader construction trades. Join us today and help build structures that stand the test of time!Pay: $20.00 - $22.00 per hourBenefits:<ul><li>Paid time off</li></ul>Ability to Commute:<ul><li>Indianapolis, IN 46229 (Preferred)</li></ul>Work Location: In person

Entry-Level Commercial Roofer

Auto-Owners Insurance

<div>
 A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
 
 
 
 Job Description
 
 
 
 
 We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, you could have the flexibility of work-from-home time as defined by the leadership team.
 
 
 
 Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated claims trainee to join our team. This job handles entry-level insurance claims under close supervision through the life-cycle of a claim including but not limited to: investigation, evaluation, and claim resolution. This job provides service to agents, insureds, and others to ensure claims resolve accurately and timely. This job includes training and development completion of the Company&rsquo;s claims training program for the assigned line of insurance and requires the person to
 
 
 <ul>
 <li>
 Investigate, evaluate, and settle entry-level insurance claims
 </li>
 <li>
 Study insurance policies, endorsements, and forms to develop foundational knowledge on Company insurance products
 </li>
 <li>
 Learn and comply with Company claim handling procedures
 </li>
 <li>
 Develop entry-level claim negotiation and settlement skills
 </li>
 <li>
 Build skills to effectively serve the needs of agents, insureds, and others
 </li>
 <li>
 Meet and communicate with claimants, legal counsel, and third-parties
 </li>
 <li>
 Develop specialized skills including but not limited to, estimating and use of designated computer-based programs for loss adjustment
 </li>
 <li>
 Study, obtain, and maintain an adjuster&rsquo;s license(s), if required by statute within the timeline established by the Company or legal requirements
 
 
 </li>
 </ul>
 
 Desired Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or direct equivalent experience with property/casualty claims handling
 </li>
 <li>
 Ability to organize data, multi-task and make decisions independently
 </li>
 <li>
 Above average communication skills (written and verbal)
 </li>
 <li>
 Ability to write reports and compose correspondence
 </li>
 <li>
 Ability to resolve complex issues
 </li>
 <li>
 Ability to maintain confidentially and data security
 </li>
 <li>
 Ability to effectively deal with a diverse group individuals
 </li>
 <li>
 Ability to accurately deal with mathematical problems, including, geometry (area and volume) and financial areas (such as accuracy in sums, unit costs, and the capacity to read and develop understanding of personal and business finance documents)
 </li>
 <li>
 Ability to drive an automobile, possess a valid driver license, and maintain a driving record consistent with the Company&rsquo;s underwriting guidelines for coverage
 </li>
 <li>
 Continually develop product knowledge through participation in approved educational programs
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success. We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package. Along with a competitive base salary, matched 401(k), fully-funded pension plan (once vested), and bonus programs, Auto-Owners also provides generous paid time off including holidays, vacation days, personal time, and sick leave. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!
 
 
 
 Equal Employment Opportunity
 
 
 
 Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
 
 
 <ul>
 <li>
 Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
 
 
 </li>
 </ul>
</div>

Auto Claims Representative

<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)

Explore 308+ Biochemist formulation team entry level in Indianapolis this March. Find roles across top companies and apply now to boost your career.