Associate Data Scientist I — Visualize & Automate R&D Data

BioSpace; North Chicago (IL); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

401(k) with company match

Job summary

AbbVie is seeking a data and visualization-focused professional to support the Global Research, Informatics & Platform Solutions team within the Information Research division. The role involves building visualizations, transforming data, and supporting end users to optimize decision-making in discovery and development projects.

You will work with discovery scientists and IT partners to capture data, create dashboards, and ensure data integrity across multi-platform datasets.

Qualifications

• Bachelor’s Degree in life sciences or equivalent.
• Proficient in Python and data visualization with Spotfire or equivalent.
• Experience with CI/CD processes and modern data pipelines.
• Strong communication for cross-functional collaboration and training.
• Familiarity with data science techniques and AI concepts.

Responsibilities

• Communicate with discovery scientists to gather requirements and understand workflows.
• Build technology solutions to visualize and integrate complex multi-platform data.
• Integrate data sets for meaningful analysis across omics, biomarkers and preclinical safety.
• Support scientists with dashboarding and technical needs.
• Demonstrate proficiency in Python, SQL, and data analytics tools.

Skills

Python

SQL

Data visualization

CI/CD

Education

Bachelor's Degree

Tools

Spotfire

CI/CD tools

Job description

AbbVie is seeking a data and visualization-focused professional to support the Global Research, Informatics & Platform Solutions team within the Information Research division. The role involves building visualizations, transforming data, and supporting end users to optimize decision-making in discovery and development projects.

You will work with discovery scientists and IT partners to capture data, create dashboards, and ensure data integrity across multi-platform datasets.