Advanced Analytics Principal Engineer

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

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About Innovative Medicine:

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at are searching for the best talent for an Advanced Analytics Principal Engineer in Malvern PA.

Purpose:
We are seeking an Advanced Analytics Principal Engineer to lead design and deliver analytics solutions that enable learning insight and decisionmaking across scientific and operational this role you will work with complex highdimensional data and apply advanced statistical analysis data science and AIassisted analytics approaches to support development and commercial processes within the Johnson & Johnson Innovative Medicine organization. You will work with crossfunctional partners to translate scientific and business questions to enable diverse users to explore data and make informed decisions.

You will be responsible for:

• Apply advanced statistics and machine learning including GenAI and LLMbased approaches to extract insight from complex scientific and operational datasets.
• Design develop and maintain analytics workflows applications and AIenabled solutions that support exploratory analysis decision support and knowledge generation.
• Develop clear intuitive visual analytics and dashboards that integrate quantitative results with contextual narratives tailored to technical and nontechnical audiences.
• Collaborate with crossfunctional partners to establish and evolve advanced analytics and AI standards to ensure adaptability reproducibility and alignment with enterprise standards.
• Mentor and support colleagues in the effective use of statistical methods analytics tools and AIassisted workflows as part of everyday product and process development.
• Stay ahead of emerging analytics visualization and GenAI technologies.

Qualifications / Requirements:

Education:

• Minimum of a Bachelors degree in Science Engineering Computer Science Mathematics or related field.

Required:

• Minimum 6-8 years of experience applying advanced analytics
• Experience developing analytics applications and automated reporting using languages such as Python R and SQL.
• Strong foundation in statistical analysis and machine learning with experience applying these methods to complex datasets.
• Practical experience working with Generative AI including prompt design evaluation of outputs and integration into analytics solutions.
• Experience implementing data quality checks testing strategies and validation practices to ensure reliable AI outputs.
• Strong written and verbal communication skills with the ability to clearly explain analytical and AIenabled insights to diverse audiences.
• Experience collaborating across teams and working within agile or collaborative development environments using tools such as JIRA Confluence Bitbucket or similar platforms.

Preferred:

• Experience with visualization and dashboarding tools such as Spotfire Tableau Power Apps/Automate and PI Vision.
• Familiarity with enterprise laboratory or manufacturing systems including instrument control systems sample management systems electronic lab notebooks (eLN) or LIMS.
• Experience deploying or operating analytics in cloud environments such as AWS or equivalent platforms.
• Prior exposure to pharmaceutical or lifescience data including process analytical or formulation data.

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 internal employees contact AskGS to be directed to your accommodation resource.

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