Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Post Doctoral Scientist: Computational Modeling.
United States Jobs Expertini

Urgent! Post Doctoral Scientist: Computational Modeling Job Opening In Indianapolis – Now Hiring Lilly

Post Doctoral Scientist: Computational Modeling



Job description

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’re looking for people who are determined to make life better for people around the world.

**Company Overview**

**At Eli Lilly and Company, we unite caring with discovery to make life better for people around the world.

Eli Lilly is a leader in global healthcare and has been discovering and developing medicines that help improve lives for more than 140 years.

The pharmaceutical industry is a complex, rapidly changing environment with innovation at its core.

Across the globe, we are a leader in innovative research and development.

Our 39,000 employees around the world work as a team to bring breakthrough medicines to patients who need them.

We are looking for motivated, highly skilled scientists and engineers to help us continue to bring breakthrough medicines to patients.**

**Department Description:**

**Delivery, Device, and Connected Solutions (DDCS) is an organization within the Product Research and Development (PRD) at Eli Lilly and Company.

DDCS is a diverse group of chemists, material scientists, and engineers with the critical responsibility of delivering our portfolio.

DDCS provides the scientific and engineering expertise to discover and develop delivery solutions across a range of modalities, from injection devices to nanomedicines.

Within DDCS, the Drug Delivery and New Product Innovation (DDNPI) team is leading efforts to advance research in injection physiology for various routes of drug delivery.

Our goal is to develop state-of-the-art drug delivery systems and devices.

The DDNPI team is seeking a postdoctoral researcher with computational modeling expertise and a background in injection physiology.**

**Responsibilities:**

**Top candidates for this position will be expected to:**

**Apply resourceful and innovative thinking to develop and validate computer simulation-based approaches to problems related to various drug delivery modalities.**

**Demonstrate ability to utilize computational modeling to address impactful questions relating to various drug delivery modalities.**

**Leverage a strong theoretical and technical background in bio transport, continuum mechanics, FEA/CFD modeling, and simulation to develop and execute the modeling of drug delivery modalities such as injections, drug diffusion, and drug absorption using commercial or open-source simulation platforms.**

**Demonstrate the ability to work effectively within a cross-functional team environment but show initiative to undertake and drive independent research problems to completion.**

**Demonstrate strong communication (oral and written) skills.

Present work at group meetings or external conferences and prepare manuscripts for publication.**

**Show learning agility and willingness to rapidly learn the fundamental concepts, project requirements and regulatory and competitive landscape around making innovative drug delivery solutions.**

**Contribute to the overall goals of the department and the company by developing innovative drug delivery systems that improve patient outcomes.**

**Basic Qualifications:**

**PhD in Mechanical Engineering or similar disciplines**

**Expert in continuum mechanics, thermodynamics, modeling and simulation methods (FEA/CFD), theory and application**

**Fundamental knowledge of drug delivery**

+ **Prior experience in modeling and simulation of drug delivery and absorption**
**Proficiency in using computational modeling and simulation tools and software such as ANSYS, SolidWorks, AutoCAD, MATLAB, or similar**

**Additional Skills/Preferences:**

**Experience with Multiphysics modeling and simulation**

**Experienced in scripting (e.g., Python) and automating tasks**

**Fundamental understanding of medical devices.**

**Well-developed problem-solving skills that are based on creative thinking and attention to detail**

**Experience in managing or contributing to large-scale projects, including planning, execution, and reporting**

**Good organizational skills that will enable success in a fast-paced environment**

**Ability to balance multiple activities, prioritize and manage uncertainty and risk**

**A strong desire to learn emerging technologies and new scientific concepts to support multi-disciplinary research**

**Good interpersonal skills and a persistent tendency for collaboration**

**Demonstrated proficiency in scientific writing and publication in peer-reviewed journals, along with scientific presentation skills**

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’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’s education, experience, skills, and geographic location.

The anticipated wage for this position is

$58,000 - $100,320

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’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Post Doctoral Potential: Insight & Career Growth Guide


  • Real-time Post Doctoral Jobs Trends in Indianapolis, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Post Doctoral in Indianapolis, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 4393 jobs in United States and 23 jobs in Indianapolis. This comprehensive analysis highlights market share and opportunities for professionals in Post Doctoral roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Post Doctoral Scientist: Computational Modeling Job?

    Great news! is currently hiring and seeking a Post Doctoral Scientist: Computational Modeling to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lilly adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Post Doctoral Scientist: Computational Modeling Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Indianapolis. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Post Doctoral Scientist: Computational Modeling?

    Key qualifications for Post Doctoral Scientist: Computational Modeling typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Post Doctoral Scientist: Computational Modeling?

    To improve your chances of getting hired for Post Doctoral Scientist: Computational Modeling, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Post Doctoral Scientist: Computational Modeling Job Success
    Lilly interview tips for Post Doctoral Scientist: Computational Modeling

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Lilly's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Post Doctoral Scientist: Computational Modeling interview at Lilly, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Lilly's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Post Doctoral Scientist: Computational Modeling Positions

    Setting up job alerts for Post Doctoral Scientist: Computational Modeling is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!