Senior Data Scientist I – Bioassay Data Scientist

AbbVie; North Chicago (IL); On-site; USD 97,000 - 184,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k)

Job summary

Required are strong biology/data visualization skills, knowledge graphs, and programming in Python. Collaboration with internal IT and external scientists is essential, with opportunities to innovate in informatics platforms within AbbVie's IR Division.

Qualifications

• Bachelor's degree with significant relevant experience in life sciences or bioinformatics.
• Strong knowledge of biology data and knowledge graphs; ability to work with ontologies.
• Experience with bioassay data and data visualization tools.
• Excellent communication and cross-functional collaboration skills.
• Ability to work independently on multiple projects and meet timelines.

Responsibilities

• Harmonize biology data and derive knowledge statements for the knowledge graph.
• Communicate with Discovery teams to gather workflows and requirements.
• Design and propose solutions, then independently implement them.
• Build data pipelines to integrate data into systems/warehouses.
• Create visualizations and AI-enabled solutions to accelerate drug discovery.
• Support performance issues and downstream systems for bioassay data.
• Apply automation and advanced analytics to scientific workflows.
• Collaborate with IT and scientific stakeholders across projects.

Skills

Biology data

Knowledge graphs

Ontologies

Bioassay data

Data visualization

Python

Education

Bachelor's Degree + 6 years

Master's Degree + 5 years

PhD + 0 years

Tools

Spotfire

Plotly

ggplot2

D3

Python

Job description

• Full-time
• Salary Min: 96500
• Salary Max: 183500
• Workday Global Grade: 17
• Travel: Yes, 5% of the Time
• Compensation: USD 96,500 - USD 183,500 - yearly

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.

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 Degreeand6 years of experience; Master's Degreeand 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 orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company'ssoleandabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable 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.