Algorithmic Execution Quant Jobs in Indiana (NOW HIRING)

Overview At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world. Lilly is headquartered in Indianapolis, Indiana, with over 50,000 employees globally. This role drives the strategy and execution of Lilly's real-world data (RWD) ecosystem across therapeutic areas and enterprise data assets, ensuring RWD pipelines are built, validated, and governed to produce reusable, AI-ready assets that accelerate evidence generation at scale. The Senior Director, RWD Operations Lead translates strategic direction into hands-on RWD design and data engineering decisions, bridging research intent with technical build. The role oversees analytic dataset construction, ensuring reproducibility and fit-for-purpose evidence generation, and works with HEOR and related functions to align data assets with regulatory and publication standards. It also leads cross-functional governance and advances enterprise-wide RWD value beyond HEOR. The role supports knowledge management, including code lists and algorithm maintenance, and maintains a single source of truth for resources to enable high-quality, reproducible evidence generation across Lilly\'s data portfolio. It continuously scans for emerging innovations and translates new capabilities into practical improvements that enhance quality, speed, and scalability of RWD operations. The role sits at the core of the RWD ARS transformation workstream, supporting future-state team structure, governance, and execution excellence. Responsibilities RWD Operational Excellence & Data Readiness – Evaluate raw RWD for fitness-for-use, completeness, standardization, structure, and alignment with enterprise needs. Collaborate with RWD architects and engineers to translate scientific needs into enterprise RWD infrastructure strategy, resolve pipeline bottlenecks, and ensure documentation (e.g., SAPs, data dictionaries, audit trails) is complete and centralized. Accelerate evidence generation by transforming raw data into reusable, analysis-ready assets. Develop and execute quality-control frameworks to ensure data completeness and reliable RWD operations at scale. Incorporate strategic innovations (AI) into RWD ecosystem operations. Standardization of Coding Systems & Reusable RWD Assets – Own end-to-end code list standardization, maintenance, stewardship, and hosting (e.g., ontology specs, ICD coding, SNOMED-CT, NDC, CPT/HCPC, LOINC, RxNorm). Develop and maintain reusable phenotyping algorithms, code libraries, and standardized data pipelines. Establish governance and documentation standards for RWD asset reuse across functions. Governance & Cross-Functional Operations Management – Lead operational governance for RWD use, including access pathways, approval flows, stewardship processes, and compliance with enterprise standards. Partner with stakeholders to ensure operational readiness of datasets, tools, and processes; clarify new operational roles and future-state workflows. RWD Portfolio & Workflow Visibility Tools – Build tools and dashboards for rapid visibility into RWD sources (quality, density, limitations, operational metadata). Collaborate with RWD Strategy Lead to align assets with RWD/RWE studies and inform prioritization and resource planning for data acquisition. Support building analytical, flexible TA-specific cohorts for fast and consistent research. Training, Documentation, & Capability Building – Develop and deliver RWD-source-specific trainings. Maintain and evolve documentation across pipelines, reusable components, and operational standards. Minimum Qualification Requirements Master's degree (MS, MPH, PharmD, PhD) in a quantitative, data, or health-related field. Minimum of 3 years of hands-on experience with RWD, including healthcare data structures (claims, EHR, and multi-modal RWD) and linked clinical-genomic/omics datasets. Minimum of 3 years of experience with RWD healthcare coding systems (ICD-10, CPT, NDC, LOINC, RxNorm). Preferred Qualifications Experience driving alignment and conflict resolution across technical and scientific teams. Experience supporting organizational change and building operational frameworks. Ability to manage complex operational workflows across multiple stakeholders; strong analytical, organizational, and communication skills. Strategic thinker at enterprise level with ability to collaborate with RWD architecture, engineering, and strategy roles. Demonstrated leadership in stakeholder influence and external partnerships. Proficiency in SQL, R, and R-Shiny, including dashboarding and operational tool development. Familiarity with HEOR, medical, and statistical workflows, including specification development and data quality assessment. Minimum of 2 years of direct people management experience; leadership, coaching, and development of team members preferred. Additional Information Location: Indianapolis, IN is strongly preferred. Relocation assistance is available for qualified candidates. Remote work may be considered based on business needs and candidate qualifications. Domestic and international travel may be necessary. 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, please complete the accommodation request form. Lilly is an EEO employer and does not discriminate on age, race, color, religion, gender identity or 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 all employees. Our compensation and benefits include base salary, bonus eligibility, and a comprehensive benefits program. Lilly reserves the right to amend compensation and benefit programs in its sole discretion. #J-18808-Ljbffr