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Scientist, Data II

AbbVie · North Chicago, IL · Full time · Information Technology

Posted Aug 31, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

What would you do

You'd develop automations using robotic process automation. What kinds of task is that actually the right tool for?

What they are checking: Whether they know when robotic process automation is genuinely the right tool, since it is often applied to problems it fits poorly.

You'd collaborate with clinical scientists, technology and business stakeholders on timelines and planning. How do you set a realistic timeline for research-shaped work?

What they are checking: Whether they can set realistic timelines for uncertain research work, and communicate that uncertainty honestly to stakeholders.

You'd lead multiple concurrent projects. How do you decide where your time goes in a given week?

What they are checking: Whether they prioritize their time sensibly across several projects, focusing on what matters most rather than whoever asks first.

A stakeholder wants a model to do something you do not think it can do reliably. How do you handle that?

What they are checking: Whether they will push back honestly when a model cannot reliably do what is asked, rather than overpromising results.

Work in a pharmaceutical setting carries regulatory and data governance constraints. What does that change about how you deploy something?

What they are checking: Whether they understand regulatory and data governance requirements in pharma, which shape how AI solutions can be deployed safely.

This is a Scientist II level role at North Chicago on a research and development team. What would you want to know about the problems and the data before you took it?

What they are checking: Whether they would ask about the problems and data before committing, showing they think practically about doing the work well.

About the work

This role builds artificial intelligence solutions for clinical and pharmaceutical problems. What have you built and deployed?

What they are checking: Whether they have actually built and deployed AI solutions people use, rather than only running experiments that never left a notebook.

The posting names developing and maintaining backend systems for data processing pipelines using a named Python framework. What have you built with it?

What they are checking: Whether they have real, demonstrable experience building backend data pipelines with the named Python framework, not just familiarity.

Walk me through a model you built for a clinical problem. How did you validate it?

What they are checking: Whether they validate clinical models rigorously, because errors in this setting can affect patients and regulatory decisions.

Clinical data are messy and often small. How does that change your approach compared with a large consumer dataset?

What they are checking: Whether they adapt their methods to small, messy clinical datasets, which behave very differently from large consumer data.

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The full job description

As published by AbbVie.

We are seeking an experienced AI Data Scientist II to join our innovative FAiM Team at AbbVie Pharmaceuticals. This position is an opportunity to join a team and work at the intersection of machine learning and artificial intelligence within the Global Therapeutics space at AbbVie. In this role, you will leverage cutting-edge AI technologies to transform our clinical data operations and drive pharmaceutical innovation. The ideal candidate will combine strong technical expertise and development leadership with clinical science knowledge to create solutions that accelerate drug discovery and improve patient outcomes. This role will work collaboratively with technology and business groups to perform analyses and implement technologies to deliver precise, reliable, and reproducible solutions in a timely manner as a development lead. Also, this role will need to demonstrate technical precision and strong data science skills. Responsibilities: • Design, develop, and deploy AI-driven solutions to solve complex clinical and pharmaceutical challenges. • Develop and maintain backend systems using FastAPI for robust data processing pipelines. • Develop automations utilizing Robotic Process Automation • Collaborate with cross-functional teams including clinical scientists, IT, and business stakeholders to include technical timelines and planning. • Lead multiple concurrent projects while maintaining exceptional quality standards. • Translate complex technical concepts into accessible insights for non-technical stakeholders. • Build and maintain relationships with internal teams and external vendors to stay informed on AI trends and best practices. • Independently design and develop business technology solutions to answer scientific or business questions through integration, visualization, and analysis of data. • Demonstrate proficiency across a range of technologies related to storage, transfer, integration, visualization, and analysis of large and complex data sets. • Demonstrate knowledge of the pharmaceutical and healthcare business and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions. • Effectively organize and present project objectives and progress. Contribute to technical publications and presentations. Required: • Bachelor’s Degree in Computer Science, Data Science, or related technical field and 5 years of experience; Or Master’s Degree and 4 years of experience. • Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts. • Hands-on experience using large language models and machine learning algorithms. • Strong programming skills in Python with emphasis on data science libraries • Backend development experience using FastAPI. • Experience with Knowledge Graphs and associated Python packages • Experience building applications on AWS infrastructure specifically ECS. • Excellent written and oral communication skills. • Proven ability to manage multiple projects simultaneously. Preferred: • Master’s Degree preferred. • Background in life sciences or work experience in the pharmaceutical industry preferred. 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

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