SLAS (Society for Laboratory Automation and Screening) · 9 hours ago
Advisor, Data Scientist - CMC Data Products
Indiana, United States
Full-time
Onsite
Senior Level, Lead/Staff
$126K/yr - $244K/yr
8+ years expLilly is a global healthcare leader dedicated to improving lives through innovative medicines. They are seeking a Data Scientist to lead the development of enterprise-scale data products that enable AI-driven insights and optimize processes within the pharmaceutical domain.
AssociationBiotechnologyCommunitiesGovernmentInformation Technology
Responsibilities
Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows
Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD)
Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access
Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A
Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products
Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance
Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing
Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness
Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development
Qualification
Required
Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field
8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming)
Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure)
Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains
Proficiency with SQL, Python, and data visualization tools
Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors)
Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control
Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data
Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns
Preferred
Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies
Experience implementing data mesh architectures in scientific organizations
Knowledge of MLOps practices and model deployment in validated environments
Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications
Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications
Benefits
Company bonus
401(k)
Pension
Vacation benefits
Medical benefits
Dental benefits
Vision benefits
Prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
SLAS (Society for Laboratory Automation and Screening)
SLAS, headquartered in Oak Brook, IL, is a tax exempt organization under section 501 (c) (3) of the United States Internal Revenue Code.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Vicki Loise
CEO
Amy Wilkinson
Director, Global Events and Corporate Partnerships
Recent News
2026-02-02
2025-10-23
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