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    (Sr.) Manager, Medical Affairs Analytics

    Eli Lily
    5+ years
    Not Disclosed
    Shanghai Shi
    10 Jan. 28, 2025
    Job Description
    Job Type: Full Time Education: B.Sc, M.Sc, B.Pharm, M.Pharm, LifeScience Graduates Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

    Job Title: (Sr.) Manager, Medical Affairs Analytics
    Location: Shanghai, Shanghai, China
    Category: Medical
    Job Type: Full-time, Regular
    Job Id: R-79279

    Company Overview:

    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 are dedicated to discovering and delivering life-changing medicines, improving disease management, and contributing to our communities through philanthropy and volunteerism.

    We are looking for individuals who are passionate about improving lives and committed to making a difference in healthcare.

    Job Purpose:

    The (Sr.) Manager, Medical Affairs Analytics will support the Medical Affairs team by driving data analytics to uncover actionable medical insights that inform business decisions. This role requires developing a deep understanding of Lilly's data sources, conducting thorough analyses, and ensuring that analytic outputs align with business goals. The position also plays a key role in communicating data-driven insights to stakeholders and driving the transformation of medical affairs operations.

    Key Responsibilities:

    Business Analysis for Medical Affairs:

    • Conduct comprehensive analyses to answer critical business questions, prioritize solutions, and deliver actionable insights.
    • Lead analytics initiatives that enhance the effectiveness and productivity of Medical Affairs operations.
    • Identify and leverage data sources to understand Clinical Care Gaps (CCGs) and guide medical affairs planning.
    • Evaluate local data to track and address Clinical Care Gaps.
    • Use data to identify Thought Leaders (TL), Scientific Experts (SE), and Clinical Experts (CE) among healthcare professionals (HCPs) to build a robust HCP-level data infrastructure for Medical Affairs.
    • Collaborate with cross-functional teams to ensure data analysis aligns with business objectives and provides meaningful insights.

    Global Collaboration:

    • Work closely with global teams to ensure that China is actively involved in developing data analytic capabilities for medical affairs.

    Data Source Identification and Management:

    • Collaborate with data teams to understand and manage the data Medical Affairs has access to, ensuring it is utilized effectively.

    Capability Development Support:

    • Identify opportunities to grow the Medical Affairs team’s capability in data and analytics by sharing best practices and leading training initiatives.

    Compliance:

    • Ensure that all data use complies with privacy laws, contractual obligations, and other relevant guidelines.

    Other Initiatives:

    • Lead special projects or key initiatives as required, contributing to the continuous improvement of data analytics practices within Medical Affairs.

    Qualifications:

    Education:

    • Bachelor’s degree in Economics, Finance, Statistics, Computer Science, Business Analytics, Marketing, Mathematics, or a related field (Master’s degree preferred).

    Experience:

    • Basic Qualifications:
      • 5+ years of strong data analytics experience, with a business acumen in the healthcare industry and an ability to think strategically in an ambiguous environment.
      • Proficiency in English for effective collaboration with international colleagues.
      • Solid understanding of advanced analytics techniques, such as regression, time series, and clustering.
      • Experience with programming languages such as Python or R.

    Additional Preferences:

    • Knowledge of advanced analytics techniques like AI, machine learning (ML), natural language processing (NLP), and predictive analytics.
    • Experience working with third-party patient-level claims data.
    • Proficiency in data visualization tools such as Tableau or Power BI.
    • Strong competence in coding languages (e.g., R, SAS, SQL).
    • Demonstrated success in delivering complex, cross-functional projects.
    • Proven ability to influence stakeholders at all levels, from executives to associates.

    Lilly is an Equal Opportunity Employer:

    Lilly is committed to fostering an inclusive environment and providing equal opportunities for all individuals. We are dedicated to helping individuals with disabilities actively engage in the workforce. If you require accommodations during the application process, please complete the accommodation request form here.

    Lilly does not discriminate based on age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.

    #WeAreLilly

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