Senior Data Engineer
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have a Bachelor's degree?, * 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
Required Skills:
Preferred Skills: Advanced Analytics, Biostatistics, Clinical Trials, Collaborating, Consulting, Critical Thinking, Data Privacy Standards, Data Quality, Data Savvy, Digital Fluency, Good Clinical Practice (GCP), Quality Assurance (QA), Report Writing, Standard Operating Procedure (SOP), Statistical Analysis Systems (SAS) Programming, Statistics, Systems Development, Technologically Savvy
