Hybrid Biopharma Data Analytics & Visualization Scientist

BioSpace; North Chicago (IL); Hybrid; USD 140,000 - 143,000; Full time

Benefits offered by this job

Paid time off

Healthcare insurance

401(k)

Incentive programs

Job summary

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

You will partner with R&D scientists to structure and answer analytical questions critical to early discovery, enabling data‑driven decisions and advancing medicines. Responsibilities include developing data capture and visualization of large scientific datasets, leading tool initiatives, and translating results for non‑technical stakeholders.

Qualifications

• Master’s degree with 2 years in healthcare/pharma data science or related field.
• Or Bachelor’s degree with 5 years in healthcare/pharma data science or related field.
• Experience applying statistics, design of experiments, and data modeling.

Responsibilities

• Partner with R&D scientists to structure and answer analytical questions for early discovery.
• Collaborate with stakeholders to frame analyses enabling data‑driven decisions.
• Develop and implement data capture, integration and visualization of large scientific data sets.
• Lead initiatives to deploy state‑of‑the‑art tools and translate insights to stakeholders.

Skills

Statistical analyses

Experiment design

Regression & modeling

Python visualization

SQL queries

Data wrangling

Project management

Data presentation

Education

Master’s degree in biology / bioinformatics / cheminformatics / chemistry / data science or related field

Bachelor’s degree in biology / bioinformatics / cheminformatics / chemistry / data science or related field

Tools

Python

SQL

Job description

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

You will partner with R&D scientists to structure and answer analytical questions critical to early discovery, enabling data‑driven decisions and advancing medicines. Responsibilities include developing data capture and visualization of large scientific datasets, leading tool initiatives, and translating results for non‑technical stakeholders.