Principal Scientist, Data Science

KEY RESPONSIBILITIES

Hands-On Applied AI/ML Model Development

• Serve as a senior hands-on individual contributor responsible for personally designing, coding, testing, validating, and refining applied AI/ML models for high-value TDS use cases.
• Translate complex scientific and business questions into tractable modeling problems, selecting fit-for-purpose methods based on the data, decision context, assumptions, and expected business impact.
• Conduct rigorous exploratory analysis, feature engineering, diagnostics, error analysis, sensitivity analysis, and uncertainty assessment to ensure models are credible, robust, and actionable.

Technical Delivery & Software Development Discipline

• Develop robust, reusable analytical workflows and modeling assets using Python and modern data science tooling, including cloud-based services.
• Apply software engineering best practices, including version control, modular code design, testing, documentation, reproducibility, and code review.
• Use modern development environments, including AI-assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability.

Cross-Functional Collaboration, Technical Leadership, and Business Impact

• Engage with scientific, technical, and operations stakeholders to understand requirements, design data and AI/ML solutions, and drive adoption.
• Support multiple concurrent projects, managing priorities and delivering maximum business value across the TDS network.
• Provide technical guidance to junior team members, consultants, post-doctoral researchers, or collaborators while remaining an active hands-on contributor accountable for measurable business impact.

QUALIFICATIONS

Required

• Use modern development environments, including AI-assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability.

• 3–5+ years of relevant experience in applied data science, machine learning, statistical modeling, AI/ML solution development, scientific computing, or related quantitative disciplines, preferably in a complex R&D, pharmaceutical development, manufacturing, supply chain, healthcare, or technical operations environment.

• Strong Python programming skills and demonstrated use of modern analytical development practices, including version control, testing, documentation, reproducibility, and code review.

• Strong applied problem-solving skills, with the ability to translate ambiguous scientific, technical, or business questions into rigorous quantitative solutions.

• Strong stakeholder engagement and communication skills, with the ability to explain model assumptions, outputs, uncertainty, and implications to both technical and non-technical audiences.

Preferred

• Ph.D. in Mathematics, Statistics, Engineering, Chemical Engineering, Computer Science, Data Science, Operations Research, Chemistry, Physics, Pharmaceutical Sciences, or another related quantitative or scientific discipline.
• Experience in pharmaceutical product development, CMC development, process development, analytical development, manufacturing, regulatory dossier preparation, clinical supply, or related life sciences environments
• Familiarity with regulated (GxP) or standards-driven environments and the implications of data quality, traceability, reproducibility, documentation, and model governance for applied data science work.·
• Exposure to developing and/or deploying agent-based AI solutions

Why This Role Is Unique

This is a rare opportunity to grow in one of the world’s most ambitious and fast-growing R&D Data Science organizations, shaping how applied AI/ML and advanced analytics transform Therapeutics Development & Supply. Your work will directly support CMC development, clinical supply, dossier preparation, and the broader development-to-supply continuum, helping Johnson & Johnson accelerate scientific decision-making, improve development execution, and deliver next-generation therapies to patients globally

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

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Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

The anticipated pay range for this position, in the primary posting location, is:

The anticipated pay ranges for additional locations are:

Spain – The anticipated base pay range for this position is €65,000 – €112,470

Belgium - The anticipated base pay range for this position is €79,800.00 - €137,770.00

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

Additional information:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.

Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans.

For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.​

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.