QSP Modeler

Lilly•Indianapolis, IN

About The Position

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. Eli Lilly and Company stands at the forefront of groundbreaking research, with a portfolio spanning small molecules, peptides, antibodies, genetic medicines, RNA therapeutics, and more. Our global PKPD group deploys a powerful suite of model-based approaches—including PBPK, PK/PD, QSP, and pharmacometrics—to shape decisions across this diverse portfolio from early discovery through clinical submission and beyond. We are passionate about transforming the lives of patients, developing our people to their full potential, and continuously pushing the boundaries of science. If you are ready to make a tangible difference through quantitative modeling, we invite you to join Team Lilly in Boston or the headquarter in Indianapolis and help shape the future of QSP at Lilly. Position Overview: Join us in tackling some of the most complex and meaningful challenges in medicine. We are seeking a highly motivated, scientifically curious, and collaborative Quantitative Systems Pharmacology (QSP) scientist to work on life-changing therapies for patients. As a hands-on QSP scientist, you will work alongside experienced mentors and cross-functional teams to develop and apply AI-powered QSP models that integrate deep biological knowledge, pharmacology, and preclinical and clinical data to drive pivotal decisions in drug discovery and development.

Requirements

PhD in quantitative pharmacology, systems biology, bioengineering, applied mathematics or related discipline
Experience with developing ODE-based models for biological system
Experience with R, Matlab/Simbiology, Python, NONMEM, Monolix or other related software for model development
Experience with parameter estimation, sensitivity analysis

Nice To Haves

3+ years of experience in developing QSP/mechanistic PKPD models
2+ years of experience working in pharmaceutical/biotech industry
Experience with development of virtual patient populations
Strong understanding of PK/PD, pharmacology, drug discovery and development
Experience working with complex biological and clinical datasets
Enthusiasm for integrating AI/ML tools and emerging technologies into modeling workflows
Familiarity with metabolic disease biology is a strong plus
Strong problem solving skills both independently and collaboratively
Excellent time-management and organizational skills; thrives in a dynamic, fast-paced environment
Ability to clearly communicate scientific concepts and modeling results to multidisciplinary audiences
Strong publication record

Responsibilities

Design, develop, and implement QSP models to support target evaluation, candidate molecule selection, translational research, and clinical development
Synthesize literature, incorporate insights from cross-functional teams, and integrate preclinical, translational, and clinical datasets to build mechanistic models of disease biology and drug action
Perform parameter estimation, model simulations and model analysis to inform drug discovery and/or development programs in a timely manner.
Clearly communicate modeling results to both technical and non-technical project teams to guide decision making.
Provide scientific insights to project teams to support the selection of the right target, molecule, dose, patient population, and development strategies.
Champion the application of QSP modeling across Lilly by sharing impactful results and building internal visibility for the discipline
Maintain documentation of model development
Represent the group and increase external visibility through scientific presentations at external conferences and meetings
Author peer-reviewed manuscripts

Benefits

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).

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