Director, Clinical Statistics & Data Strategy

Eli Lilly and Company; Indianapolis (IN); Sur place; USD 167 000 - 260 000; Plein temps

Avantages offerts par ce poste

Company bonus

401(k)

Vacation benefits

Medical/dental/vision benefits

Well-being benefits

Résumé du poste

Lilly is seeking aClinical Project Statistician to develop protocol designs, analysis plans and perform data analyses for clinical studies. You will collaborate with physicians, researchers and data scientists to ensure rigorous statistical methodology and reporting.

Responsibilities include protocol input, method selection, SAP authoring, results communication, and regulatory interactions. Requires a Ph.D. with 7+ years in Real World Evidence and SAS/R proficiency.

Qualifications

• Ph.D. in Statistics, Biostatistics, Epidemiology or Computer Science with at least 7 years of Real World Evidence experience.
• Strong knowledge of statistical programming and methodological expertise.

Responsabilités

• Provide input on study protocols and design plans for clinical studies.
• Select and justify statistical methods; author SAP and perform analyses.
• Collaborate with data science for data quality assurance and methodological development.
• Lead projects independently and influence cross-functional teams.
• Write reports and present results to groups and regulators; respond to regulatory queries.

Connaissances

Interpersonal communication

Team leadership

Problem solving

Self-management

Creative thinking

Formation

Ph.D. in Statistics/Biostatistics/Epidemiology/CS

Outils

SAS

R

Spotfire

WinBUGs

Description du poste

Lilly is seeking aClinical Project Statistician to develop protocol designs, analysis plans and perform data analyses for clinical studies. You will collaborate with physicians, researchers and data scientists to ensure rigorous statistical methodology and reporting.

Responsibilities include protocol input, method selection, SAP authoring, results communication, and regulatory interactions. Requires a Ph.D. with 7+ years in Real World Evidence and SAS/R proficiency.