Principal Research Scientist I Data
AbbVie
- Location
- North Chicago, IL, United States
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- H-1B history
- 94 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
Company Description
About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
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.
Qualifications
Required: Bachelor's Degree with 8 years’ experience; Master's Degree with 7 years’ experience; PhD with 3 years’ experience. Demonstrated ability to function as a principal investigator, generating original technical ideas and research or development strategies. Demonstrated creative 'out of the box' thinking to solve difficult technical problems and champion new technologies to achieve project goals. Recognized and sought out as an expert in his/her discipline within the company and possibly externally. Excellent written and oral English communication skills, as demonstrated by presenting at leading scientific or technical conferences. Preferred: Background in life sciences or work experience in the pharmaceutical industry preferred.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the