Job Title:
Statistical Programmer/Principal Statistical Programmer
Location:
Bangalore, Karnataka, India
Company:
Lilly
Job Description:
The Statistical Programmer/Principal Statistical Programmer plays a key role in supporting non-clinical research (Discovery and Development) by providing statistical design, analysis, and optimization. This role involves conducting data analysis, creating automated tools for data processing, and providing analysis support for scientists. It also includes communicating study results to key stakeholders and contributing to the development of methodologies such as data mining and machine learning.
Key Responsibilities:
Statistical Design and Analysis:
Implement analysis applications based on customer needs.
Develop tools for data analysis and processing.
Conduct data analysis under the supervision of experienced statisticians.
QC biomarker data and clean clinical data from trials for analysis.
Create tables, figures, and reports to communicate study findings.
Lead the incorporation of data mining, machine learning, and other methodologies.
Communication of Results:
Communicate study results through manuscripts, presentations, and one-on-one meetings.
Present findings at scientific and therapeutically focused meetings.
Therapeutic/Scientific Area Knowledge:
Enhance customer focus and collaboration through scientific expertise in relevant disease states.
Regulatory Compliance:
Perform work in compliance with corporate, local, and departmental policies and training.
Statistical Leadership and Teamwork:
Introduce innovative methodologies and tools to solve critical problems.
Lead projects independently and work across functions to influence business decisions.
Required Qualifications:
Education:
M.S., Ph.D., or equivalent experience in Statistics, Biostatistics, Data Science, or a related field.
Experience:
Minimum of 5 years of experience in R and/or SAS programming.
Clinical data experience is a plus.
Skills:
Proficiency in statistical programming languages (R, SAS).
Strong teamwork, leadership, and communication skills.
Experience in experimental design and statistical analysis.
Strong problem-solving and strategic thinking abilities.
Preferred Skills:
Knowledge of clinical data analysis.
Experience in data mining and machine learning methodologies.
Ability to manage resources and work independently.
Benefits:
Competitive salary and benefits.
Opportunities for career growth and professional development.
Inclusive and collaborative work environment.
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