AbbVie · 1 month ago
Senior Scientist, Data I (Chemistry, Materials Controls - Acceleration)
North Chicago, IL, US
Full-time
Onsite
Senior Level
5+ years expAbbVie is a company dedicated to discovering and delivering innovative medicines and solutions for serious health issues. They are seeking a Senior Data Scientist to work within their Operations Business Insights group, where the role involves building predictive models, overseeing data science applications, and collaborating with various teams to drive innovation and performance.
BiotechnologyFinancial ServicesHealth CareMedicalPharmaceuticalVenture Capital
Responsibilities
Operate cross-functionally in collaboration with OBI functionally-aligned data scientists, senior functional leaders and business partners
Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business requirements
Seek, develop, and implement opportunities for technology transfer of data science methods into functional areas – spearheading the use of new methods and expanding the footprint of impactful data science
Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling
Mentor and coach related team members
Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie
Collaborate with OBI academic partners and AbbVie Innovation Center on research projects and POCs
Position requires a high degree of communication and collaboration with functional and business partners
Role is expected to maintain and execute practice roadmaps in alignment with functional partners and business partners at multi-year, annual and quarterly timescales
Role is expected to maintain consulting, educational and briefing materials commensurate with the evolution of architecture, design, project status, and best practices for the practice/functional area and to collaborate on overall team materials
Role is expected to devise and operate an effective communication plan with key stakeholders
Role is expected to demonstrate thought leadership through proposals and planning for current and future state needs
Role is expected to quickly assess new opportunities (AI/ML techniques, technology, etc.) and present these within the current and future state of requirements, risk and cost-effectiveness
Role is expected to perform requirements discovery, determine feasibility of various approaches, devise experimental approaches to test assumptions and devise solutions which incorporate non-functional requirements such as scalability, interpretability, and maintainability
Role will be expected to drive one or more key internal initiatives such as cross-functional GenAI development, data science platform evolution or operations-wide MLOps / governance / methodology / SLC updates appropriate for AI/ML in addition to planned and ad hoc functional initiatives
Qualification
Required
Undergraduate with 6 years of experience, master's degree with 5 years of experience, or PhD in a related quantitative field - Data Science/Statistics/Predictive analytics or similar. For advanced degree holders, preference is for quantitative or engineering undergraduates such as chemistry/chemical engineering, mathematics, other industrial/engineering degrees
Experience in full life-cycle of build, deploy, monitoring and evolution of complex data science applications including Agile Project management processes
Self-starter and should be able to align, adapt and manage changing requirements
Self-learner able to quickly become effective in new tools, concepts, and academic findings relevant to OBI/stakeholder needs
Comfortable working in a fast paced, highly collaborative, dynamic work environment
Preferred
Experience in Quality, Manufacturing or Central operations context in a large pharmaceutical environment
Awareness and experience in key industry trends in related areas such as ‘Factory 4.0' or ‘Smart Manufacturing' in pharmaceutical manufacturing operations
Experience in technology transfer and innovation practices through consulting experience or through corporate roles supporting these practices
Experience working with GxP systems
Experience in MLOps/SLC in Pharmaceutical operations
Experience in Deep Learning models
Experience with Apache Spark, TensorFlow, Keras, or common analogues
Working experience of OS Linux/Unix
Bachelor's Degree with 6 years' experience; Master's Degree with 5 years' experience; PhD with 0 years' experience
Possess thorough theoretical and practical understanding of own discipline
Proven implementation of creative technology solutions that advanced the business
Excellent written and oral English communication skills
Benefits
Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Company
AbbVie
AbbVie is a biopharmaceutical company focused on immunology, oncology, neuroscience, virology, and aesthetics. It is a sub-organization of AbbVie.
10001+ employees
H1B Sponsorship
AbbVie has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (273)
2024 (190)
2023 (225)
2022 (284)
2021 (186)
2020 (186)
Funding
Current Stage
Public CompanyTotal Funding
$15B2024-02-27Post Ipo Debt· $15B
2023-03-08Post Ipo Equity· $0.25M
2012-12-20IPO
Leadership Team
Robert Michael
Chairman of the Board and Chief Executive Officer
Micah Bregman
Vice President, Global Strategy and Pipeline, Allergan Aesthetics
Recent News
2026-01-23
2026-01-20
2026-01-20
Company data provided by crunchbase