Job Description

The purpose of the Statistical Analyst role is to develop or assist in the development of experimental design, validation and optimization, and provides analysis support for scientists in non-clinical research (Discovery and Development). The job tasks listed below outline the scope of the position. The application of these tasks may vary based upon current business needs. Statistical Design and Analysis Implement analysis applications per customer needs. Collaborate on development of tools for customers. Conduct data analysis under the guidance and supervision of experienced statisticians. QC biomarker data from research lab, extract/clean clinical data from Lilly clinical trials for proper biomarker data analysis. Create tables, figures and reports to effectively communicate study findings. Implement statistical analysis methods and develop automated data processing and analysis tools to streamline/speed up workflows. Review and validate data analysis and reports. Lead effort to appropriately incorporate data mining, machine learning, or other methodologies (tools, strategies, validation, etc.). Communication of Results Collaborate with team members or external partners to communicate results. Assist with or be responsible for communicating study results via manuscripts or oral presentations. Communicate results in one-on-one meetings with key customers or external partners and present at scientific and therapeutically focused meetings. Therapeutic/Scientific Area Knowledge Understand disease states or scientific areas in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor. Regulatory Compliance Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, local, and departmental policies, procedures, processes, and training. Statistical leadership and Teamwork Introduce and apply innovative methodology and tools to solve critical problems. Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions. Lead projects independently and work effectively across functions. Apply technical expertise to influence business decisions. Minimum Qualification Requirements: M.S., Ph.D., or equivalent experience Statistics, Biostatistics field study, Data Science or equivalent Having 5 years of experience in R and/or SAS programming. Clinical data experience will be an added benefit Other Information/Additional Preferences: Proficient in a statistical programming language Interpersonal/teamwork and communications skills for effective customer consultation Strong teamwork and leadership skills Technical growth and application with working knowledge of experimental design and statistics Self-management skills, creativity and innovation. Resource management skills Demonstrated problem solving ability and strategic thinking.