Senior Data Scientist I – Bioassay Data Scientist

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions 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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

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: 

• 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.

​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

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