Senior Data Engineer

Overview

Job Sub Function
Biostatistics

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Our expertise in Innovative Medicine and Med Tech enables us to innovate across the full spectrum of healthcare solutions today to deliver breakthroughs of tomorrow and profoundly impact health for humanity.

Learn more at

Job Function
Data Analytics & Computational Sciences

Job Sub Function
Biostatistics

Job Category
Scientific/Technology

All Job Posting Locations
Allschwil, Basel-Country, Switzerland;
High Wycombe, Buckinghamshire, United Kingdom;
Raritan, New Jersey, United States of America

Our expertise in Innovative Medicine (J&J IM) 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

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

• Raritan, NJ - Requisition Number: R-052886
• Switzerland - Requisition Number: R-056147
• United Kingdom - Requisition Number: R-056168

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

We are searching for the best talent for a Senior Data Engineer.

The Sr. Data Engineer/Technical Analyst is an experienced individual with advanced knowledge of statistical programming methods, languages and data structures in leading technical, analytical and data wrangling activities within the Statistical and Clinical Programming functional area in compliance with departmental processes and procedures.

This position is accountable for the planning, oversight and delivery of data engineering/statistical programming activities supporting one or more analytical and data wrangling projects generally of low-to-medium complexity/criticality. In collaboration with departmental and cross functional leadership/key stakeholders, this position also contributes to process optimization and innovation, while ensuring appropriate cross functional alignment and engagement, when necessary.

As a Sr. Data Engineer/Technical Analyst this position applies advanced technical and problem-solving skills to complete analytical and data wrangling activities of high complexity that may benefit multiple project teams. In addition, the Sr. Data Engineer/Technical Analyst may contribute advanced knowledge and technical skills to teams or departmental innovation and process improvement projects.

• Designs and develops programs in support of clinical research analysis, technical and data wrangling activities.
• Performs appropriate quality control and verification in support of assigned clinical research analysis, technical and data transfer and wrangling activities.
• Maintains analytical, technical programming documentation as appropriate.
• Completes programming tasks of medium to high complexity with high quality and timeliness of deliverables.
• Performs activities in compliance with departmental processes and procedures.
• May contribute to departmental innovation and process improvement projects.

• Collaborates effectively with statistical/clinical programming, J&J IM partner functions (Data Sciences, Biomarker, RWE, etc.) and counterparts to achieve project goals to deliver on data sciences projects/requests through curation, engineering, profiling, exploration and analysis of clinical study data from diverse sources.
• Work closely with Data Transparency group to ensure that all aspects of Data and Patients Privacy are being considered before…