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Graduate Intern
Statistical Genetics
Confirmed live in the last 24 hours
Gilead Sciences

10,001+ employees

Critical disease biopharmaceutical development
Company Overview
Gilead’s mission is to discover, develop and deliver innovative therapeutics for people with life-threatening diseases. The company is committed to creating a healthier world for everyone through their research, development of forward medicines, and clinical trials.

Company Stage


Total Funding





Foster City, California

Growth & Insights

6 month growth


1 year growth


2 year growth

San Mateo, CA, USA
Experience Level
Desired Skills
Data & Analytics
Biology & Biotech
  • 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 in a Bachelor's/Masters/MBA/PhD program at an accredited US based university or college
  • Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student
  • 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
  • Must be able to relocate if necessary and work at the designated site for the duration of the internship
  • Implementing and applying state of the art statistical genetics methods to further our understanding on the genetic basis of complex diseases
  • Integrating diverse omics QTL data and results from GWAS to investigate causal mechanisms of genetic variants on disease
  • Identifying and bringing additional datasets that may be used to improve our understanding of the function of genetic variants
  • Reviewing and providing input on analysis plans
  • Contributing to group meetings and discussions
  • Showcasing your work with a final poster board presentation near the conclusion of your internship
  • Integrity (Doing What's Right)
  • Inclusion (Encouraging Diversity)
  • Teamwork (Working Together)
  • Excellence (Being Your Best)
  • Accountability (Taking Personal Responsibility)
Desired Qualifications
  • Completed a B.S. and/or seeking a graduate degree (MS/PhD) in genetics, bioinformatics, or related discipline
  • Understanding of Genome-Wide Association Studies
  • Familiarity with mechanisms of gene expression regulation
  • Strong analytical skills, including strong foundation in regression analysis
  • Proficiency writing scripts in R and bash
  • Experience working in a Linux environment
  • Experience applying methods for fine mapping and colocalization
  • 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