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

Johnson & Johnson

Data Scientist designing and optimizing data systems for therapeutics development. Collaborating across teams to deliver high-quality data solutions for advanced analytics.

Posted 5/8/2026full-timeSpring House • Massachusetts, Pennsylvania • 🇺🇸 United StatesLead💰 $117,000 - $201,250 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudNoSQLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing TDS data from diverse data generation sources and 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 other modern engineering tools.
Develop and maintain TDS-specific data repositories, implementing enterprise-level data models and creating new models as needed.
Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards.
Partner with data scientists, TDS domain experts, and digital technology teams to translate business needs into high-quality data products and engineering requirements.
Implement data quality and performance standards; define KPIs to measure accuracy, completeness, and consistency across TDS data assets.
Apply data versioning and lineage tracking for compliance, traceability, and audit readiness.
Engage with scientific, technical, and operations stakeholders to understand requirements, design data solutions, and drive adoption.

Requirements

What you’ll need

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 a scientific, manufacturing, or healthcare environment.
Proficiency with Python, R, SQL, and cloud-based architectures (e.g., AWS services, Snowflake, Redshift).
Experience with NoSQL and graph databases.
Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.
Ability to drive multiple exciting projects simultaneous with strong organizational skills and adaptability.

Benefits

Comp & perks

Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata modelingdatabase designdata pipelinesdata flowsdata repositoriesAI/ML readinessdata versioningdata lineage trackingKPI definition

Soft Skills

analytical skillsproblem-solving skillsstakeholder managementorganizational skillsadaptability

Certifications

advanced degree in Engineeringadvanced degree in Data Scienceadvanced degree in Life Sciencesadvanced degree in Computer Science