Sr. Principal Scientist
Found in: Talent IE C2 - 2 weeks ago
We’re looking for people who are determined to make life better for people around the world.
Title: Data Scientist & Analyst - Real-World Evidence, Value Evidence
City: Cork, Cork, Ireland
Company Overview
At Lilly, we unite caring with discovery to make life better for people worldwide. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees worldwide 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 determined to improve patients' lives worldwide.
Eli Lilly Cork comprises a talented, diverse team of over 1,400 employees across 38 nationalities who deliver innovative solutions that add value across various Business Service functions, including Finance, Information Technology, Medical, Clinical Trials, and more.
Lilly offers a premium workspace across our campus in Little Island, complete with flexible hybrid working options, healthcare, pension and life assurance benefits, subsidized canteen, onsite gym, travel subsidies and onsite parking. Inhouse People Development Services, Educational Assistance, and our 'Live Your BEST Life' wellbeing initiatives are just some of the holistic benefits that enhance the career experience for our colleagues.
Join our team - Be Creative, Innovative, and, most of all, Yourself
Summary
The demand for high-quality health economic and outcomes research (HEOR) and real-world evidence (RWE) to support drug development, health technology assessment/access decisions, product differentiation, and clinical decision-making continues to increase. The Lilly Value, Evidence, and Outcomes VEO) team aims to accelerate equitable patient access and transform healthcare delivery through the execution and communication of bold, high-impact science. We seek talented, energetic, creative, diverse, influential, and collaborative team members to join the VEO function and Team Lilly.
The RWE research scientist will provide scientific influence and advanced analytics expertise in the generation of real-world evidence for Lilly's portfolio. This role will generate RWE insights by leveraging analytic, clinical, scientific, and technological expertise. The RWE research scientist will advance data/analytical platforms for optimal use and deliver innovative tools/methods to further advance analytic outputs. The scientist may have duties ranging from analyzing real-world data, advancing health information standards and applications, and delivering innovative tools and improved practices to increase the efficiency/productivity of data analytics. The scientist will deliver portfolio work and contribute to developing innovative capabilities, such as policy work, RWE for regulatory decision-making, and other evolving capabilities to be developed.
Responsibilities
Observational RWE/RWD Research Analysis
Provide scientific and analytical input to the study protocol and develop a statistical analysis plan for the RWE studies, particularly on studies using secondary data sources, such as claims data, electronic medical records data, etc. Provide expert input on the fit-for-purpose assessment of RWD, perform the quality checks of data, and support the feasibility analysis of data, including simple sample size estimation. Transform real-world data (RWD) sources to analysis-ready data sets to enable rapid generation of RWE. Apply the spectrum of advanced analytical methods to RWD, conduct appropriate statistical analysis, and deliver study results on time. Clearly Interpret study results and influence the project team to deliver scientifically robust RWE. Attends and influences external forums and conferences dealing with RWE analytics and clinical/health information, particularly regarding RWE.Communication of Results and Inferences
Collaborate with team members to write reports, draft abstracts/posters/manuscripts, and communicate study results. Assisted with, or was responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings.Therapeutic Area Knowledge
Understand disease states, competitive landscapes, and regulatory environment to enhance customer focus and collaboration and be seen as a strong scientific contributor.Basic Qualifications
Advanced degree in data analytics-related field (i.e. statistics, epidemiology and data science) or with 3- 5+ years of experience in real-world evidence, drug development Proficient in the use of data analytic tools and analytics languages (i.e. R, Python, SAS, and SQL) Hands-on experience with commonly used RWD sources (e.g., administrative claims, electronic health records) Familiarity with basic observational study principles and study designsAdditional Skills/Preferences
Expertise in foundational data archetypes of structured and unstructured RWD, including various types of RWD Interpersonal communication skills for effective customer consultation. Demonstrated ability to influence and collaborate within and across cross-functional teams. Technical expertise and application with working knowledge of experimental design and statistical analysis. Self-management skills with a focus on results for timely and accurate completion of competing deliverables. Resource management skills. Creativity and innovation. Demonstrated problem-solving ability and critical thinking. Business process expertise associated with critical activities (e.g., regulatory submissions).Additional Information
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, colour, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.
Lilly does not discriminate on the basis of 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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