Senior Data Scientist I – Bioassay Data Scientist

About AbbVie Allergan is now part of AbbVie. AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @AbbVie on LinkedIn for future updates.

AbbVie

A

abbvie.com

10,001+ employees

Pharmaceutical Manufacturing

Dublin, Coolock

Public Company

723k LinkedIn followers

• The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division partners with scientists and research organizations across AbbVie to unlock the value of scientific data. By enabling effective management, integration, and use of high-quality research data and delivering informatics platforms and decision-support capabilities, the team helps transform complex scientific information into actionable insights that accelerate discovery, strengthen scientific decision-making, and improve the efficiency and effectiveness of research and development. The role serves as a key bridge of expertise between laboratory scientists and technology teams and is responsible for defining, stewarding, and expanding our bioassay knowledge graph, translating scientific workflows into data solutions, and building data visualizations/AI-enabled solutions that accelerate drug discovery.
• Harmonization – apply previous biology/biochemistry wet lab experience and strong knowledge of biology data to harmonize knowledge graph data & derive knowledge statements.
• Communicate – ability to communicate with scientists from Discovery teams to understand existing workflows, data flows & gather requirements.
• Collaborative Design – understand the client’s needs, propose solutions, and independently develop appropriate solutions.
• Build – Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data; build pipelines to integrate data into systems/warehouses.
• Integrate – understand the value in capturing data properly, integrating internal & external data sets and leveraging ontologies.
• Support – provide solutions to performance-related issues and work with downstream systems to support bioassay-data-driven demands.
• Technical Proficiency - Demonstrate high proficiency in technologies for data storage, transfer, integration, visualization, and advanced analytics.
• Adaptability – ability to work on multiple, sometimes very different, projects at one time.
• Breadth – contribute independently to a wide variety of projects related to enhancing drug discovery & development.
• Evaluate - implement automation, AI, and advanced analytics opportunities to improve scientific workflows.

Required

• Bachelor's Degree and 6 years of experience; Master's Degree and 5 years of experience; PhD and 0 years of experience
• Background in life sciences, biology, or equivalent required,
• Working knowledge of drug discovery and development process
• Understanding of biological ontologies
• Experience working with bioassay data required.
• Understanding of knowledge graphs with ability to enhance our existing biology data
• Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discovery scientists, therapeutic area scientists, etc.)
• Strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
• Demonstrated data visualization skill and experience with flexible plotting libraries (D3, ggplot2, plotly) and/or visualization platforms.
• Ability to work independently, multi-task, and work within timelines.
• Outstanding verbal, written and interpersonal skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders.
• A self-motivated learner and thinker with a hands-on approach

Preferred

• Demonstrated technical proficiency in the pharmaceutical industry highly preferred.
• Previous in vitro biology wet lab experience preferred.
• Experience with LIMS, ELN, and other scientific software preferred.
• Strong programming proficiency in Python (and other modern languages) desired.

• Workday Global Grade: 17
• Travel: Yes, 5% of the Time