Biopharmaceutical R&D Data Analytics & Visualization Scientist

Biopharmaceutical R&D Data Analytics & Visualization Scientist, AbbVie Inc., North Chicago, IL. Hybrid (onsite 3 days a week/ 2 days WFH). Key Responsibilities

• Partner with R&D scientists to structure & answer analytical questions critical to the success of early discovery pipeline.
• Collaborate with key stakeholders to frame & tackle essential analytical questions that enable scientists to make data driven decisions.
• Develop & implement innovative technology solutions through data capture, integration, visualization of large, scientific data sets.
• Lead initiatives to implement state-of-the-art tools & enable analysis of scientific data, leading insights to a remarkable impact on patients' lives.

Education & Experience Must have a Master's degree in biology, bioinformatics, cheminformatics, chemistry, data science or related field & 2 years of industry work experience in the healthcare/pharma industry as a data scientist or in an informatics role. Of the required work experience, must have 1 year:

• applying statistical analyses, experiment design, regression & modeling to scientific data sets;
• translating data results in a non-technical format for written & oral presentations to R & D stakeholders;
• developing statistical analyses & visualizations of scientific data in Python;
• extracting, transforming, & loading data & writing SQL queries, table creation, views, & reporting;
• performing academic or industry research in life sciences or the pharmaceutical industry; &
• managing multiple projects effectively with timely deliverables.

Alternatively, would accept a Bachelor's degree in biology, bioinformatics, cheminformatics, chemistry, data science or related field & 5 years of industry work experience in the healthcare/pharma industry as a data scientist or in an informatics role. Of the required work experience, must have 5 years:

• applying statistical analyses, experiment design, regression & modeling to scientific data sets; &
• translating data results in a non-technical format for written & oral presentations to R & D stakeholders.

Of the required work experience, must have 3 years:

• developing statistical analyses & visualizations of scientific data in Python;
• extracting, transforming, & loading data & writing SQL queries, table creation, views, & reporting;
• performing academic or industry research in life sciences or the pharmaceutical industry; &
• managing multiple projects effectively with timely deliverables.

Work experience may be gained concurrently. Will accept combination of education, training & work experience.