India Job Openings

Lilly
Modeling and Simulation Scientist, PK/PD & Pharmacometrics
Indianapolis
FULL TIME
September 18, 2024
Lilly is on the forefront of groundbreaking research and the portfolio encompasses small molecules, peptides, antibodies, genetic medicines, RNA therapeutics, and more. The PK/PD organization uses a variety of model-based approaches including PBPK, PK/PD, QSP and pharmacometrics to impact across this portfolio from early discovery to clinical submission and beyond.
We seek dynamic, energetic, curious, and collaborative quantitative scientists ready to engage and work on life-changing therapies for patients. You will interact with cross-functional teams applying a variety of in silico approaches to inform drug discovery and development. Through engagement in experimental design and data interpretation, you will help drive and deliver the discovery and/or development portfolio.
We are passionate about developing our people to their full potential and making a real impact on patients' lives. Apply today to join Team Lilly!
Responsibilities:
You will develop and apply quantitative models to support the discovery and development of therapeutic drug candidates. We are looking for scientists with expertise in modeling and simulation to join our team. You’ll use various analytical and computational tools to understand the factors that influence the pharmacokinetic and pharmacodynamic properties of our drugs. We need a dynamic and driven scientist who will:- Integrate quantitative approaches into drug discovery and/or development
- Conduct modeling and simulation to inform drug discovery and/or development programs.
- Communicate quantitative data, both internally and in the scientific community
- Provide scientific leadership to project teams in selecting the right target, molecule, dose, patient population, and development strategies.
Basic Qualifications:
- Ph D in DMPK, Pharmacometrics, Pharmacokinetics/Pharmacodynamics, Pharmaceutics, Biology, Computational Sciences, Engineering, Chemistry, Statistics, Toxicology or a related subject area
- Or, MS and at least 5 years industry or academic experience in PBPK, QSP, PK/PD, exposure-response modeling, clinical trial simulation, drug-drug interactions, special populations, or other modeling & simulation related field
Additional Skills/Preferences:
- Experience using relevant software such as Phoenix, NONMEM, R, Sim CYP, Gastroplus, Monolix, Python, MATLAB, or similar
- Adept at working with cross-functional colleagues
- Thorough understanding of pharmacokinetics and/or pharmacodynamic principles along with an ability to clearly communicate theories and concepts.
- Excellent self-management and organizational skills
- Demonstrated strong communication 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 an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, 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 help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.
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