Principal Scientist, Data Science – R&D DDSAI - Therapeutics Development & Supply (TDS)
Johnson & Johnson
August 11, 2026
Remote friendly (Malvern, PA)
United States
Operations
Responsibilities:
- Design, build, and maintain scalable data pipelines to acquire, integrate, and manage TDS data from sources such as lab systems, MES, clinical supply, quality systems, and external partners.
- Create and optimize data flows for structured and unstructured data using Python, R, SQL, DBT, and cloud services.
- Develop and maintain TDS data repositories using enterprise data models.
- Ensure AI/ML readiness with well-structured, versioned, traceable, semantically aligned data.
- Partner to translate business needs into data products and engineering requirements; implement semantic models/knowledge graph architectures.
- Define and enforce data quality/performance standards and KPIs; apply versioning and lineage tracking; follow software best practices (code versioning, DevOps, documentation).
- Collaborate with stakeholders and support multiple concurrent projects.
Qualifications:
Required:
- Advanced degree (Engineering, Data Science, Life Sciences, Computer Science, or related); advanced degree preferred.
- 3+ years in data engineering (data modeling/database design), preferably in scientific/manufacturing/healthcare.
- Proficiency in Python, R, SQL, and cloud architectures (AWS, Snowflake, Redshift).
- Experience with NoSQL and graph databases.
- Strong analytics/problem-solving and stakeholder management; ability to turn discussions into requirements.
Preferred:
- Experience with regulated/standards-driven data (CDISC, HL7, FHIR, OMOP, DICOM, manufacturing/quality standards).
- Knowledge of high-dimensional data (e.g., imaging/sensor).
- Experience with MLOps/model deployment workflows.
- Knowledge of MES, lab information systems, or industrial data systems.
- Experience with knowledge graph architectures.
Benefits (time off): Vacation (120 hrs/yr), Sick time (40 hrs/yr; CO 48; WA 56), Holiday pay incl. floating holidays (13 days/yr), Work/Personal/Family Time (up to 40 hrs/yr), Parental Leave (480 hrs/yr within one year), Bereavement Leave (240 hrs immediate/40 extended), Caregiver Leave (80 hrs in 52-week rolling period), Volunteer Leave (32 hrs/yr), Military Spouse Time-Off (80 hrs/yr).
- Design, build, and maintain scalable data pipelines to acquire, integrate, and manage TDS data from sources such as lab systems, MES, clinical supply, quality systems, and external partners.
- Create and optimize data flows for structured and unstructured data using Python, R, SQL, DBT, and cloud services.
- Develop and maintain TDS data repositories using enterprise data models.
- Ensure AI/ML readiness with well-structured, versioned, traceable, semantically aligned data.
- Partner to translate business needs into data products and engineering requirements; implement semantic models/knowledge graph architectures.
- Define and enforce data quality/performance standards and KPIs; apply versioning and lineage tracking; follow software best practices (code versioning, DevOps, documentation).
- Collaborate with stakeholders and support multiple concurrent projects.
Qualifications:
Required:
- Advanced degree (Engineering, Data Science, Life Sciences, Computer Science, or related); advanced degree preferred.
- 3+ years in data engineering (data modeling/database design), preferably in scientific/manufacturing/healthcare.
- Proficiency in Python, R, SQL, and cloud architectures (AWS, Snowflake, Redshift).
- Experience with NoSQL and graph databases.
- Strong analytics/problem-solving and stakeholder management; ability to turn discussions into requirements.
Preferred:
- Experience with regulated/standards-driven data (CDISC, HL7, FHIR, OMOP, DICOM, manufacturing/quality standards).
- Knowledge of high-dimensional data (e.g., imaging/sensor).
- Experience with MLOps/model deployment workflows.
- Knowledge of MES, lab information systems, or industrial data systems.
- Experience with knowledge graph architectures.
Benefits (time off): Vacation (120 hrs/yr), Sick time (40 hrs/yr; CO 48; WA 56), Holiday pay incl. floating holidays (13 days/yr), Work/Personal/Family Time (up to 40 hrs/yr), Parental Leave (480 hrs/yr within one year), Bereavement Leave (240 hrs immediate/40 extended), Caregiver Leave (80 hrs in 52-week rolling period), Volunteer Leave (32 hrs/yr), Military Spouse Time-Off (80 hrs/yr).