Intern – Clinical Development, Bioinformatics

Job Description

As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company’s mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs.

Who We Are:

The Clinical Bioinformatics and Exploratory Analytics team applies its expertise to support analysis, visualization, and interpretation of clinical datasets. These datasets include next-generation sequencing and clinical data collected from patients and associated pipeline development to aid in analyses these data. We work collaboratively with other functional teams to support drug development and translational programs in various disease areas.

Job Overview:

The ideal candidate will have a background in quantitative or life sciences and have a strong interest in the analysis and interpretation of patient-derived data. Interns will work closely with experienced data scientists on topics related to data visualization, integration, analysis, and pipeline development. The internship project will address relevant questions related to one or more of our core therapeutic areas, which may include oncology, virology, or inflammation disease areas. The intern will gain hands-on experience in statistical and computational methods for the analysis of biological and clinical data, as well as critical thinking skills. At the conclusion of the internship program, interns will make a poster and give a presentation summarizing their work to an audience with a broad scientific background across various functional teams.

Key Responsibilities will include, but are not limited to the following:

• Learning and understanding the basic knowledge of the clinical trial life cycle
• Data visualization and analysis using machine-learning techniques and statistical methods
• Analysis of clinical or biomarker datasets
• Review of scientific literature for the interpretation of key findings
• Writing analysis reports
• Create, test, and run pipeline for analysis of clinical or biomarker datasets
• Showcase your work with a final presentation (PPT) near the conclusion of your internship

Required Qualifications:

• Must be at least 18 years old
• Must have a minimum GPA of 2.8
• Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University.
• Must be currently enrolled as a full-time student at an accredited U.S. based university or college enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship
• Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student
• Must be able to complete a 10-12 consecutive week internship between May and August
• Must be able to relocate if necessary and work at the designated site for the duration of the internship

Preferred Qualifications:

• Preferred Degree qualification: Graduate – PhD
• Strong understanding of statistics
• Pursuing a degree in Bioinformatics, Biostatistics, Epidemiology, Computational Biology, Genomics, Computer Science, or related field, ideally having completed at least 2 years of PhD program
• Proficiency with MS Office Suite
• Ability to identify issues and seek solutions
• Ability to work both independently and collaboratively
• Demonstrated commitment to inclusion and diversity in the workplace
• Efficient, organized, and able to handle short timelines in a fast-paced environment

Gilead Core Values:

• Integrity (Doing What’s Right)
• Inclusion (Encouraging Diversity)
• Teamwork (Working Together)
• Excellence (Being Your Best)
• Accountability (Taking Personal Responsibility)