Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods. They are seeking an Intern for their Innovative Medicine R&D Data Sciences team to assist in delivering engaging data products and managing project intake while gaining insights into data utilization and methodologies.
Responsibilities
Understand how data is ingested from Amazon Redshift to the RDS database, ensuring a smooth transition and integration for effective data utilization in web applications.
Understanding data pipelines, ETL processes, and data modeling.
Responsible for the delivery of engaging and innovative data products, such as dashboards and web applications.
Understand in utilizing Agile (Scrum or Kanban) methodologies.
Coordinate internally to manage project intake. Prioritize projects within the team, ensuring a good balance of tasks so that high quality work is delivered timely.
Coordinate internally to create robust documentation for each project use case.
Qualification
Required
Be currently pursuing a degree in computer science, bioinformatics, engineering, or related degrees.
Possess a strong understanding of Statistics, Data Science, Computer Science, Software Engineering, Biomedical Informatics or related field as demonstrated by current or prior coursework.
Proficient in SQL with the ability to manipulate and query large datasets effectively, ensuring data readiness for AI applications.
Possess strong written and verbal communication and presentation skills (technical and/or business).
Understand how data is ingested from Amazon Redshift to the RDS database, ensuring a smooth transition and integration for effective data utilization in web applications.
Understanding data pipelines, ETL processes, and data modeling.
Responsible for the delivery of engaging and innovative data products, such as dashboards and web applications.
Understand in utilizing Agile (Scrum or Kanban) methodologies.
Coordinate internally to manage project intake. Prioritize projects within the team, ensuring a good balance of tasks so that high quality work is delivered timely.
Coordinate internally to create robust documentation for each project use case.
Preferred
Coursework or background in computer science, information systems, biomedical engineering, and other life sciences.
Have prior experience through other internships/jobs with hands-on data engineering and data science.
Prior independent or classroom research experience on a data-focused project.
Experience with relevant disease biology in cancer, immunology, and neuroscience disease.
Programming skills in Python for data manipulation, analysis, and automation tasks.
Benefits
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.
