About Innovative Medicine

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 https://www.jnj.com/innovative-medicine

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.

Position Summary:

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-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.

Principal Responsibilities:

• 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

Data Engineering Specific

• 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 providing data to requesters

Principal Relationships:

• Reports into people manager position within the function.

• Functional contacts within Integrated Data Analytics & Reporting (IDAR) include but are not limited to, Departmental Leadership, Clinical and Statistical Programmers, peer groups within department, Regulatory Medical Writing, Data Management, Risk Management Central Monitoring and Clinical Data Standards.

• Functional contacts within J&J (as collaborator or peer) include but are not limited to Quantitative Sciences, Biostatisticians and IT.

Education and Experience Requirements:

• A minimum of a bachelor’s degree is required or sufficient industry experience

• 4+ years’ experience in a related field required

• Experience with mathematics & statistical programming skills is required. In-depth knowledge of relevant programming languages (e.g., R, Python, SAS) is required

• Experience working in a team environment with demonstrated written and verbal communication skills is required

• Preferred: Knowledge of a specific therapeutic- and/ disease-area topics like, biomarkers and PD end points

Data Engineering Specific

• In depth understanding of Machine Learning, Natural Language Processing, Time Series of Forecasting, Logistic Regression, Data Mining is required

• In-depth knowledge of therapeutic/disease area concepts (e.g., biomarkers, genomics, PD end-points) is required.

#LI-Hybrid

Preferred Skills: