Senior Data Scientist I – Bioassay Data Scientist Full-time

Job Title

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.

Responsibilities

Responsibilities include:

• 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.

Qualifications

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.

Where We Work

Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.