Advanced Analytics Senior Engineer

Johnson & Johnson Innovative Medicine•Malvern, PA

1d•Hybrid

About The Position

We are seeking an Advanced Analytics Senior Engineer to design, develop, and deliver analytics solutions that enable learning, insight, and decision‑making across scientific and operational domains. In this role, you will work with complex, high‑dimensional data and apply advanced statistical analysis, data science, and AI‑assisted analytics approaches to support development and commercial processes within the Johnson & Johnson Innovative Medicine organization. You will work with cross‑functional partners to translate scientific and business questions to enable diverse users to explore data and make informed decisions.

Requirements

Minimum of a Bachelor's degree in Science, Engineering, Computer Science, Mathematics, or related field.
Minimum 4 years of experience applying advanced analytics.
Experience developing analytics applications and automated reporting using languages such as Python, R, and SQL.
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 support reliable AI outputs.
Strong written and verbal communication skills, with the ability to clearly explain analytical and AI‑enabled 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.

Nice To Haves

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 life‑science data, including process, analytical, or formulation data.

Responsibilities

Apply advanced statistics and machine learning, including GenAI and LLM‑based approaches, to extract insight from complex scientific and operational datasets.
Design, develop, and maintain analytics workflows, applications, and AI‑enabled solutions that support exploratory analysis and decisions.
Develop clear, intuitive visual analytics and dashboards tailored to technical and non‑technical audiences.
Collaborate with cross‑functional partners to implement advanced analytics and AI solutions that align with enterprise standards.
Support teams in the effective use of statistical methods, analytics tools, and AI‑assisted workflows as part of product and process development.
Stay current with emerging analytics, visualization, and GenAI technologies.