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.

Skills
Data Analysis, Python, SQL

Experience
5+ yrs

Employment type
Full-time

Work arrangement
Hybrid