Conceive, design and implement new technologies and/or applications that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. Generate new proposals and lead those efforts. Investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive novel, competitive insights from disparate data sources or drive productivity and efficiency gains throughout multiple business areas. Act as a lead data scientist in his/her area of expertise and critically evaluate relevant scientific and technological advances and integrate this knowledge into new business technology solutions.
Responsibilities:
- Effectively function as a principal investigator, generating new scientific or technological proposals and leading those efforts. Anticipate and critically evaluate scientific or technological advances or competitive threats and respond with appropriate new strategies.
- Demonstrate creative 'out of the box' thinking to solve difficult problems and champion new technologies to achieve project goals.
- Independently responsible for data science and technology within his/her area of expertise on multiple projects. Demonstrate mastery across a wide range of data science technologies, including data warehousing, data integration, data visualization and analysis, software development, statistics, and machine learning.
- Demonstrate deep knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions.
- Recognized and sought out as an expert in his/her discipline within the company and possibly externally. A primary author of publications and presentations.
- May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
- Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.