Senior Data Scientist I – Bioassay Data Scientist

AbbVie•North Chicago, IL

6d•$96,500 - $183,500

About The Position

The Senior Data Scientist I serves on AbbVie’s Global Research, Informatics & Platform Solutions team within the Information Research Division, which partners with scientists and research organizations to enable effective management, integration, and use of high-quality research data. The role bridges laboratory scientists and technology teams, defining, stewarding, and expanding the bioassay knowledge graph; translating scientific workflows into data solutions; and building data visualizations and AI-enabled solutions to accelerate drug discovery. The position applies biology and biochemistry expertise to harmonize bioassay data and derive knowledge statements. It works with Discovery scientists to understand workflows, data flows, and requirements, then designs and implements solutions to integrate, visualize, and analyze complex data across platforms. The role also develops data pipelines, leverages ontologies and internal and external data, supports downstream systems and performance needs, and evaluates automation, AI, and advanced analytics opportunities to improve scientific workflows. The job includes travel approximately 5% of the time.

Requirements

Bachelor’s degree and 6 years of experience, or a master’s degree and 5 years of experience, or a PhD and 0 years of experience.
Background in life sciences, biology, or equivalent.
Working knowledge of the drug discovery and development process.
Understanding of biological ontologies.
Experience working with bioassay data.
Understanding of knowledge graphs and ability to enhance existing biology data.
Strong familiarity with data visualization and pipelining tools such as Spotfire or equivalent.
Demonstrated data visualization skills and experience with flexible plotting libraries such as D3, ggplot2, or plotly, and/or visualization platforms.
Ability to work independently, multitask, and work within timelines.
Strong verbal, written, and interpersonal skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders.
Self-motivated learner and thinker with a hands-on approach.
Ability to work as a dedicated team player and interface with internal IT stakeholders and external customers.

Nice To Haves

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

Responsibilities

Apply biology and biochemistry wet-lab experience and knowledge of biology data to harmonize knowledge graph data and derive knowledge statements.
Communicate with Discovery teams to understand scientific workflows and data flows and gather requirements.
Understand client needs, propose solutions, and independently develop appropriate solutions.
Conceive, design, and implement technology solutions to integrate, visualize, and analyze complex multi-platform data.
Build pipelines to integrate data into systems and warehouses.
Integrate internal and external datasets and leverage ontologies, recognizing the value of properly captured data.
Address performance-related issues and work with downstream systems to support bioassay-data-driven demands.
Use technologies for data storage, transfer, integration, visualization, and advanced analytics.
Contribute independently to a wide variety of projects that enhance drug discovery and development, adapting to multiple projects at once.
Implement automation, AI, and advanced analytics opportunities to improve scientific workflows.
Collaborate with internal IT disciplines and external customers, documenting and presenting technical solutions to non-technical stakeholders.