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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # PKPD & PMx Data Scientist - PK Data Delivery - **Company:** Eli Lilly and Company - **Location:** Indianapolis, IN, United States - **Salary:** $90,000.0 - $195,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Clinical Data Management, Clinical Data Repository, Computer Programming, Data Integrity, R (Programming Language), Package Development Process, SAS (Software), Claude Code, AI Coding Agents, Agentic-AI, Git, Information Technology, Data Management, Data Delivery, Software Version Control - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/6ef38590-5dd4-447e-89c9-9834324d6a3e ## About the Role This position may be filled at different career levels. Placement will be determined based on the candidate's qualifications, relevant experience, and capabilities demonstrated. * Master's degree in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, or a related quantitative field. * Experience in R or SAS programming. * Experience with clinical trial data structures, clinical data standards, and statistical analysis concepts. * Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT,J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1. Additional Requirements * This position requires regular onsite presence at the assigned Lilly location (Indianapolis, IN, LCC). Additional Skills / Preferences * Experience developing SDTM datasets, ADaM datasets, and TFL in a regulated clinical development environment. * Experience supporting PK data readiness activities and developing PK analysis-ready datasets for PK/PD and PMx analyses. * Experience with FDA, EMA, ICH, and CDISC standards and guidelines. * Knowledge of clinical trial processes and drug development. * Experience reviewing study design, data collection strategies, and study documentation to support PK or PK/PD analyses. * Experience using AI coding assistants and agentic workflows (e.g., Claude Code) in programming, data review, quality control, or workflow automation. * Strong R proficiency, including package development, reproducible workflows, and version control (Git). * Experience or training in pharmaceutical, biotechnology, CRO, or clinical research environments. * Exposure to population PK/PD or pharmacometric modeling, including dataset conventions for NONMEM, Monolix, or similar tools. * Strong attention to detail and clear written and verbal communication with scientific and clinical partners. Success Factors Ownership & Execution * Demonstrates strong attention to detail and commitment to data integrity. * Applies strong logical thinking and problem-solving skills to programming and data-related challenges. * Is self-motivated, accountable, and committed to delivering high-quality results in a timely manner. Adaptability & Learning * Thrives in a fast-paced, high-demand environment and effectively manages competing priorities, evolving project needs, and tight deadlines. * Actively learns new methods and tools, including AI-assisted ways of working, and applies them to real deliverables rather than waiting for dedicated training time. * Demonstrates flexibility, works independently with minimal supervision, and willingly steps up to support team priorities when needed. ## Description We are seeking a highly motivated individual with strong programming and clinical data expertise to support PK data delivery, data quality, and process innovation initiatives. The successful candidate will collaborate with cross-functional teams to ensure PK data are collected, transformed, validated, and delivered efficiently to support decision-making throughout the drug development process. You will have the opportunity to: * Collaborate with Data Management, Project Statisticians, Statistical Analysts, PK/PD project leaders, Pharmacometricians, and other cross-functional partners to develop and independently validate PK analysis-ready datasets, PK-related SDTM domains, ADaM datasets, and Tables, Listings, and Figures (TFLs) in compliance with study specifications, CDISC standards, regulatory requirements, and company procedures. * Partner with PMx Leads and PK/PD (clinical pharmacology) Leads from study design onward to anticipate the data requirements of planned PK/PD and population analyses, review data collection strategies, study documents, and clinical trial data throughout the study lifecycle, and identify, communicate, and resolve issues impacting PK data quality, traceability, analysis readiness, and downstream analyses. * Develop and implement innovative R programming, automation, and AI-enabled solutions to improve efficiency, quality, reproducibility, and scalability of PKPD data delivery processes., * Communicates data issues and decisions in terms of their impact on the analysis and the program, so partners can act on them. * Builds productive partnerships across functions and proactively engages stakeholders to advance project goals and business outcomes. * Demonstrates ownership by proactively addressing issues, challenging organizational silos, driving cross-functional alignment, and overcoming obstacles that impact quality, efficiency, or project success. * Shows persistence, courage, resilience, and a results-oriented mindset in addressing difficult or longstanding challenges, making tangible progress, driving complex initiatives to successful outcomes, and continuously seeking opportunities for improvement. 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 ( 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.