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.
Role: Head - Analytics / BI
Industry Type: Pharmaceutical & Life Sciences
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: Any Graduate
PG: Medical-MS/MD in Psychology
