Principal Scientist, Data Science – R&D DSDH - Therapeutics Development & Supply; TDS

Position Summary

The R&D Data Science organization is seeking a Data Scientist – Data Engineer to design, build, and optimize data capture, processing, and storage solutions enabling advanced analytics, digital process transformation, and AI/ML applications across the development-to-supply continuum for Therapeutics Development & Supply (TDS).

• Design, build, and maintain scalable data pipelines to acquire, integrate, and manage TDS data from diverse sources/systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).
• Create and optimize data flows for structured and unstructured data using Python, R, SQL, cloud services, and modern engineering tools.
• Develop and maintain TDS-specific data repositories using enterprise-level data models.
• Enable AI/ML readiness via well-structured, versioned, traceable, semantically aligned data.

• Partner with data scientists, TDS domain experts, and digital technology teams to translate business needs into data products and engineering requirements.
• Work with ontology/knowledge graph teams to implement semantic models and future-proof data architectures.

• Implement data quality/performance standards; define KPIs for accuracy, completeness, and consistency.
• Apply data versioning and lineage tracking for compliance, traceability, and audit readiness.
• Follow software best practices (code versioning, Dev Ops integration, documentation).

• Engage scientific/technical/operations stakeholders to understand requirements, design solutions, and drive adoption.
• Support multiple concurrent projects, managing priorities and delivering business value across the TDS network.

• Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field (advanced degree preferred).
• 3+ years of experience in data engineering, including data modeling and database design (preferably in scientific, manufacturing, or healthcare environments).
• Proficiency with Python, R, SQL, and cloud-based architectures (e.g., AWS, Snowflake, Redshift).
• Experience with No
  
  SQL and graph databases.
• Strong analytical, problem-solving, and stakeholder-management skills; ability to translate discussions into actionable requirements.
• Ability to drive multiple projects concurrently with strong organization and adaptability.

• Experience with regulated/standards-driven data environments (e.g., CDISC, HL7, FHIR, OMOP, DICOM; manufacturing/quality data standards).
• Familiarity with high-dimensional data (e.g., imaging, sensor data).
• Experience with MLOps/model deployment workflows.
• Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.
• Exposure to knowledge graphs or ontology-driven architectures.

• Vacation: 120 hours/year;
  Sick time: 40 hours/year (48 in CO; 56 in WA);
  Holiday pay incl. floating holidays: 13 days/year.
• Work, Personal and Family Time: up to 40 hours/year.
• Parental Leave: 480 hours within one year of birth/adoption/foster care.
• Bereavement Leave: 240 hours (immediate family) and 40 hours (extended family) per year.
• Caregiver Leave: 80 hours in a 52-week rolling period.
• Volunteer Leave: 32 hours/year.
• Military Spouse Time-Off: 80 hours/year.

Candidate interested in US-based locations, please apply to R-069212.