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Intern - Clinical Data Science, Development Systems
Company | Gilead Sciences |
Address | Foster City, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Biotechnology Research,Pharmaceutical Manufacturing |
Expires | 2023-10-14 |
Posted at | 7 months ago |
For Current Gilead Employees And Contractors
- Showcase your work with a final poster board presentation near the conclusion of your internship
- This position will focus on building scalable ETL data pipelines that facilitate data warehousing for clinical trial and operational data
- The position will require a strong technical understanding in how to solve business problems by using data driven approaches to examine options that will minimize bottlenecks, simplify processes, and mitigate quality errors
- This position will work cross functionally to define business requirements for data governance and ad hoc data reporting
- Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship
- Must be able to complete a 10-12 consecutive week internship between May and August
- Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University.
- Must have a minimum GPA of 2.8
- Must be a Rising Junior or Senior in undergrad
- Must be able to relocate if necessary and work at the designated site for the duration of the internship
- Must be at least 18 years old
- Must be currently enrolled as a full-time student in a Bachelor’s program at an accredited US based university or college
- Ability to work both independently and collaboratively
- Knowledge of data visualization tools (e.g. Tableau)
- Proficiency with MS Office Suite
- Demonstrated commitment to inclusion and diversity in the workplace
- Ability to identify issues and seek solutions
- Efficient, organized, and able to handle short timelines in a fast-paced environment
- Software Engineering experience with proficiency in at least one high-level programming language (preferably Python).
- Familiar with or awareness of automated workflows like Airflow
- Experience with AWS Data Lakes, S3, Redshift
- SQL-centric ETL (Extract, Transform, and Load)
- Strong SQL skills
- Integrity (Doing What’s Right)
- Inclusion (Encouraging Diversity)
- Teamwork (Working Together)
- Excellence (Being Your Best)
- Accountability (Taking Personal Responsibility)
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