Senior Bioassay Data Scientist - AI-Driven Drug Discovery

BioSpace

North Chicago (IL)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Medical/dental/vision insurance
401(k) plan

Job summary

AbbVie is seeking a Bioinformatics/Data Science specialist to join the Global Research, Informatics & Platform Solutions team in North Chicago. You will bridge biology and technology, harmonize bioassay data, and build visualizations and AI-enabled analytics to accelerate drug discovery.

The role requires a life sciences background, strong Python skills, and experience with data visualization tools. You will work with scientists and IT peers across multiple projects, contributing to knowledge

Qualifications

  • Bachelor's Degree with 6+ years in life sciences or equivalent.
  • Master's Degree with 5+ years of experience in biology data.
  • PhD with relevant research experience and data skills.

Responsibilities

  • Harmonize biology data and derive knowledge statements.
  • Communicate with scientists to understand workflows and data flows.
  • Design and implement data solutions, visualizations, and pipelines.
  • Integrate data from multiple sources and apply ontologies.
  • Support performance issues and data-driven requests across systems.
  • Develop visualization and analytics capabilities using modern tools.
  • Adapt to multiple projects and collaborate cross-functionally.
  • Advance automation and AI opportunities in workflows.

Skills

Biology data harmonization
Data visualization
Python programming
Communication with scientists
Independent multitasking

Education

Bachelor's degree or higher
Life sciences background
Master's degree
PhD

Tools

Spotfire
D3
ggplot2
Plotly

Job description

AbbVie is seeking a Bioinformatics/Data Science specialist to join the Global Research, Informatics & Platform Solutions team in North Chicago. You will bridge biology and technology, harmonize bioassay data, and build visualizations and AI-enabled analytics to accelerate drug discovery.

The role requires a life sciences background, strong Python skills, and experience with data visualization tools. You will work with scientists and IT peers across multiple projects, contributing to knowledge

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