Scientist, Data II

SmartRecruiters, Inc.; North Chicago (IL); On-site; USD 79,000 - 141,000; Full time

Job summary

AbbVie seeks an experienced AI Data Scientist II to join its FAiM Team, working at the intersection of machine learning and artificial intelligence within Global Therapeutics. You will leverage AI to transform clinical data operations and accelerate drug discovery while collaborating with IT and business stakeholders.

The role requires leading multiple projects, translating complex concepts for non-technical stakeholders, and building scalable data solutions using AWS and FastAPI.

Qualifications

• Bachelor’s Degree in Computer Science, Data Science, or related technical field and 5 years of experience; OrMaster’sDegreeand 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
• 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.
• Master’s Degree preferred.
• Background in life sciences or work experience in the pharmaceutical industry preferred.

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.

Skills

AI/ML in clinical contexts

Python programming

Knowledge Graphs

AWS ECS

Education

Bachelor’s Degree in Computer Science or related field

Master’s Degree in related field

Tools

FastAPI

Job description

• Compensation: USD 78,500 - USD 141,000 - 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

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.

Qualifications

Required:

• Bachelor’s Degree in Computer Science, Data Science, or related technical field and 5 years of experience; OrMaster’sDegreeand 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
• 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.

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,andwemay ultimately pay more or less than the posted range. This range may bemodified in 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 toparticipate in 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 employeeremains in the Company'ssoleandabsolutediscretion unless and until paid andmay bemodified at 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.

US & Puerto Rico applicants seeking a reasonable accommodation,

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply