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Gilead Sciences · 1 day ago

Intern - Research - Protein Therapeutics

San Francisco Bay Area

Internship

Onsite

Intern

$19/hr - $55/hr

Gilead Sciences is dedicated to creating a healthier world for all people by tackling major diseases and developing life-changing therapies. As an intern, you will contribute to significant projects in protein therapeutics while gaining valuable real-world experience and participating in professional development opportunities.

BiopharmaBiotechnologyHealth CareManufacturingPharmaceutical

Comp. & Benefits

No H1B

Responsibilities

Apply molecular dynamics and other computational tools to study protein structure, stability, and interactions relevant to biologics

Perform biologics structure modeling and descriptors calculation

Analyze physico-chemical data (e.g., aggregation, hydrophobicity, charge variants, stability profiles) to correlate experimental findings with computational predictions

Assist in building workflows that integrate computational modeling and experimental analytics for biologics assessment

Document methodologies and results in clear, reproducible formats for internal knowledge sharing

Interact and collaborate with cross-functional teams to interpret findings and propose actionable recommendations

Showcase your work with a final presentation (PPT) near the conclusion of your internship

Qualification

Molecular dynamics softwareBiologics structural modelingProtein descriptors calculationMachine learning frameworksPhysico-chemical propertiesMS Office SuiteCommitment to diversityProblem-solvingCollaborationOrganizational skills

Required

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

Preferred

Preferred Degree qualification: Graduate, Master or PhD Student in Computational Biology, Bioinformatics, Biophysics, Structure Biology, or related fields

Experience with molecular dynamics software for protein analysis

Hands-on experience with biologics structural modeling and protein descriptors calculation

Familiarity with machine learning frameworks and their application in biologics

Understanding of biologics physico-chemical properties and analytical techniques

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