Senior Data Scientist I – Bioassay Data Scientist
North Chicago, IL, United States
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingHarmonize knowledge graph data and derive knowledge statements
Gather workflow and data-flow requirements from discovery scientists
Build pipelines to integrate data into systems and warehouses
Build visualizations and analysis tools for complex multi-platform data
Implement automation, AI and analytics to improve scientific workflows
From the employer’s posting
apply previous biology/biochemistry wet lab experience and strong knowledge of biology data to harmonize knowledge graph data & derive knowledge statements
ability to communicate with scientists from Discovery teams to understand existing workflows, data flows & gather requirements
build pipelines to integrate data into systems/warehouses
Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data
implement automation, AI, and advanced analytics opportunities to improve scientific workflows
What you’ll bring
All qualificationsCore experience
- Bachelor's Degree and 6 years of experience; Master's Degree and 5 years of experience; PhD and 0 years of experience
- Understanding of biological ontologies
- Experience working with bioassay data required.
- Understanding of knowledge graphs with ability to enhance our existing biology data
- Strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
- Ability to work independently, multi-task, and work within timelines.
Preferred experience
- Experience with LIMS, ELN, and other scientific software preferred.
Qualification wording
Bachelor's Degree and 6 years of experience; Master's Degree and 5 years of experience; PhD and 0 years of experience
Understanding of biological ontologies
Experience working with bioassay data required.
Understanding of knowledge graphs with ability to enhance our existing biology data
Strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
Ability to work independently, multi-task, and work within timelines.
Experience with LIMS, ELN, and other scientific software preferred.
Education & alternatives
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,
Tools in this posting
- Python
- Plotly
Source — Tool mentions in context
- Experience with LIMS, ELN, and other scientific software preferred. - Strong programming proficiency in Python (and other modern languages) desired. Additional Information
- 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.
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 2026 · today
- Recorded sightings
- 2
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
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.
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.
Additional Information
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.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Company Description
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.
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- Location & working pattern
North Chicago, IL, United States
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