Lilly Research Scientist-Outcomes & Translation in Indianapolis, Indiana

34553BR

Title Research Scientist-Outcomes & Translation

City Indianapolis

State / Province Indiana

Country USA

Region North America

Workplace Arrangement Local

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 39,000 employees around the world 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 who are determined to make life better for people around the world.

Responsibilities Are you highly motivated, have quantitative background, and able to learn quickly and work independently? Do you have what cannot be taught—intellectual sharpness and creativity?

Lilly is looking for someone like you to operate in a small team of scientists from Real World Evidence, Therapeutic Area Translational Science, IT, Statistics, and Therapeutic Area Physicians and Scientists in order to:

  • Lead research projects to integrate outcomes, genomic and mechanistic data in Diabetes through application of mixed models, predictive modeling, data mining, and other multivariate methods to decrease data complexity, identify drug targets, assess target risk, discover disease insights, and create new research hypotheses.

  • Propose research studies across the Diabetes and Complications R&D asset portfolio including preclinical and clinical projects where advanced scientific understanding is needed.

  • Lead the assessment of and propose recommendations for new research methods and real world data offerings to advance the capability of the team to execute real world research.

  • Assist in the evaluation, selection and acquisition of new real world data sources, preclinical and clinical data and partners for retrospective observational research

  • Deliver insights to researchers through statistical analysis of health and mechanism of action data

  • Recognize the relationships between drug, patient, clinical and disease factors that can significantly impact exploring potential drug-event causal relationships as well as building new stronger evidence-based approaches to drug target identification and validation

  • Monitor research literature methods and regularly communicate current trends and innovative methods and applications to business partners through various presentation media. Engage and collaborate with other internal and external experts to assure best practices and key capabilities.

  • Engage key Diabetes and Complications R&D stakeholders in research needs assessment in order to plan and organize the execution of value-focused research projects.

Basic Qualifications

  • PhD Degree in computer science, statistics, mathematics or related field.

  • Experience applying analytics, modeling and statistics in complex data environment.

Additional Skills/Preferences

  • Knowledge of and experience analyzing genomic/genetic data.

  • Proven capabilities in stakeholder engagement and matrix team leadership.

  • Experience with drug discovery teams is a big plus.

  • Proven strong writing and oral presentation skills.

  • Exposure to real world healthcare data, pharmaceutical industry research activities, and clinical research data (biomarkers, -omics data) preferred.

  • Experience with statistical computing using R and SAS; proficiency in scripting languages (e.g., Python, JS) a plus;

  • Experience using tools such as Hadoop, MapReduce, APIs and application with machine learning and data mining would be a plus.

  • Experience managing data-driven research from project inception to client communication.

Additional Information

  • Lilly is an EEO/Affirmative Action Employer and 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.

Removal Date 02-Dec-2017